Error in re-building vignettes:
  ...
Loading required package: kernlab
Loading required package: CVST
Loading required package: Matrix
2017-11-28 16:30:19: Constructing Axis 1/4
Error in LU.dgC(a) : cs_lu(A) failed: near-singular A (or out of memory)
Error in LU.dgC(a) : cs_lu(A) failed: near-singular A (or out of memory)
2017-11-28 16:30:39: Constructing Axis 2/4
Error in .local(a, b, ...) : 
  cs_lu(A) failed: near-singular A (or out of memory)
Error in LU.dgC(a) : cs_lu(A) failed: near-singular A (or out of memory)
Error in LU.dgC(a) : cs_lu(A) failed: near-singular A (or out of memory)
2017-11-28 16:30:57: Constructing Axis 3/4
Warning in solve(Matrix(K + diag(lambda, N))) :
  Exact singularity detected during LU decomposition: U[i,i]=0, i=29.
Error in solve(Matrix(K + diag(lambda, N))) : 
  Lapack dgecon(): system computationally singular, reciprocal condition number = 0
Error in solve(Matrix(K + diag(lambda, N))) : 
  Lapack routine dsytrf returned error code 1
2017-11-28 16:31:14: Constructing Axis 4/4
2017-11-28 16:31:16: Constructing Axis 1/4
Warning in solve(Matrix(K + diag(lambda, N))) :
  Exact singularity detected during LU decomposition: U[i,i]=0, i=56.
Error in solve(Matrix(K + diag(lambda, N))) : 
  Lapack dgecon(): system computationally singular, reciprocal condition number = 0
Error in .local(a, b, ...) : 
  cs_lu(A) failed: near-singular A (or out of memory)
Error in LU.dgC(a) : cs_lu(A) failed: near-singular A (or out of memory)
Error in LU.dgC(a) : cs_lu(A) failed: near-singular A (or out of memory)
2017-11-28 16:31:28: Constructing Axis 2/4
Error in solve(Matrix(K + diag(lambda, N))) : 
  Lapack routine dsytrf returned error code 54
Warning in solve(Matrix(K + diag(lambda, N))) :
  Exact singularity detected during LU decomposition: U[i,i]=0, i=60.
Error in solve(Matrix(K + diag(lambda, N))) : 
  Lapack dgecon(): system computationally singular, reciprocal condition number = 0
Error in .local(a, b, ...) : 
  cs_lu(A) failed: near-singular A (or out of memory)
Error in .local(a, b, ...) : 
  cs_lu(A) failed: near-singular A (or out of memory)
Error in LU.dgC(a) : cs_lu(A) failed: near-singular A (or out of memory)
Error in LU.dgC(a) : cs_lu(A) failed: near-singular A (or out of memory)
Error in LU.dgC(a) : cs_lu(A) failed: near-singular A (or out of memory)
2017-11-28 16:31:43: Constructing Axis 3/4
Warning in solve(Matrix(K + diag(lambda, N))) :
  Exact singularity detected during LU decomposition: U[i,i]=0, i=60.
Error in solve(Matrix(K + diag(lambda, N))) : 
  Lapack dgecon(): system computationally singular, reciprocal condition number = 0
Error in .local(a, b, ...) : 
  cs_lu(A) failed: near-singular A (or out of memory)
Error in LU.dgC(a) : cs_lu(A) failed: near-singular A (or out of memory)
2017-11-28 16:31:58: Constructing Axis 4/4
2017-11-28 16:31:58: Constructing Axis 1/4
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Error in LU.dgC(a) : cs_lu(A) failed: near-singular A (or out of memory)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
2017-11-28 16:32:24: Constructing Axis 2/4
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Error in solve(Matrix(K + diag(lambda, N))) : 
  Lapack routine dsytrf returned error code 8
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in solve(Matrix(K + diag(lambda, N))) :
  Exact singularity detected during LU decomposition: U[i,i]=0, i=24.
Error in solve(Matrix(K + diag(lambda, N))) : 
  Lapack dgecon(): system computationally singular, reciprocal condition number = 0
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Error in LU.dgC(a) : cs_lu(A) failed: near-singular A (or out of memory)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
2017-11-28 16:32:52: Constructing Axis 3/4
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Error in solve(Matrix(K + diag(lambda, N))) : 
  Lapack routine dsytrf returned error code 19
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Error in solve(Matrix(K + diag(lambda, N))) : 
  Lapack routine dsytrf returned error code 18
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Error in solve(Matrix(K + diag(lambda, N))) : 
  Lapack routine dsytrf returned error code 5
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
Warning in learner$learn(train, param) :
  Number of blocks too large wrt. number of observations, log(m)/log(N) = 1.61/4.79 = 0.34, should be < 1/3, you results may suffer numerical inaccurracy. For detail see Zhang et. al. (2013)
2017-11-28 16:33:16: Constructing Axis 4/4
2017-11-28 16:33:16: Constructing Axis 1/4
2017-11-28 16:33:37: Constructing Axis 2/4
Quitting from lines 34-39 (comparePCA.Rmd) 
Timing stopped at: 32.78 0.156 41.59
Error: processing vignette ‘comparePCA.Rmd’ failed with diagnostics:
cs_lu(A) failed: near-singular A (or out of memory)
Execution halted