Warning in fun(libname, pkgname) :
  
        The current installation of {cuml} will not function as expected
        because it was not linked with a valid version of the RAPIDS cuML shared
        library.

        To fix this issue, please follow https://rapids.ai/start.html#get-rapids
        to install the RAPIDS cuML shared library from Conda and ensure the
        'CUDA_PATH' env variable is set to a valid RAPIDS conda env directory
        (e.g., '/home/user/anaconda3/envs/rapids-21.06' or similar) during the
        installation of {cuml} or alternatively, follow
        https://github.com/yitao-li/cuml-installation-notes#build-from-source-without-conda-and-without-multi-gpu-support
        or
        https://github.com/yitao-li/cuml-installation-notes#build-from-source-without-conda-and-with-multi-gpu-support
        or similar to build and install RAPIDS cuML library from source, and
        then re-install {cuml}.



A namespace must be able to be loaded with just the base namespace
loaded: otherwise if the namespace gets loaded by a saved object, the
session will be unable to start.

Probably some imports need to be declared in the NAMESPACE file.
Warning in fun(libname, pkgname) :
  
        The current installation of {cuml} will not function as expected
        because it was not linked with a valid version of the RAPIDS cuML shared
        library.

        To fix this issue, please follow https://rapids.ai/start.html#get-rapids
        to install the RAPIDS cuML shared library from Conda and ensure the
        'CUDA_PATH' env variable is set to a valid RAPIDS conda env directory
        (e.g., '/home/user/anaconda3/envs/rapids-21.06' or similar) during the
        installation of {cuml} or alternatively, follow
        https://github.com/yitao-li/cuml-installation-notes#build-from-source-without-conda-and-without-multi-gpu-support
        or
        https://github.com/yitao-li/cuml-installation-notes#build-from-source-without-conda-and-with-multi-gpu-support
        or similar to build and install RAPIDS cuML library from source, and
        then re-install {cuml}.



A namespace must be able to be loaded with just the base namespace
loaded: otherwise if the namespace gets loaded by a saved object, the
session will be unable to start.

Probably some imports need to be declared in the NAMESPACE file.
Warning in fun(libname, pkgname) :
  
        The current installation of {cuml} will not function as expected
        because it was not linked with a valid version of the RAPIDS cuML shared
        library.

        To fix this issue, please follow https://rapids.ai/start.html#get-rapids
        to install the RAPIDS cuML shared library from Conda and ensure the
        'CUDA_PATH' env variable is set to a valid RAPIDS conda env directory
        (e.g., '/home/user/anaconda3/envs/rapids-21.06' or similar) during the
        installation of {cuml} or alternatively, follow
        https://github.com/yitao-li/cuml-installation-notes#build-from-source-without-conda-and-without-multi-gpu-support
        or
        https://github.com/yitao-li/cuml-installation-notes#build-from-source-without-conda-and-with-multi-gpu-support
        or similar to build and install RAPIDS cuML library from source, and
        then re-install {cuml}.



A namespace must be able to be loaded with just the base namespace
loaded: otherwise if the namespace gets loaded by a saved object, the
session will be unable to start.

Probably some imports need to be declared in the NAMESPACE file.
Warning in fun(libname, pkgname) :
  
        The current installation of {cuml} will not function as expected
        because it was not linked with a valid version of the RAPIDS cuML shared
        library.

        To fix this issue, please follow https://rapids.ai/start.html#get-rapids
        to install the RAPIDS cuML shared library from Conda and ensure the
        'CUDA_PATH' env variable is set to a valid RAPIDS conda env directory
        (e.g., '/home/user/anaconda3/envs/rapids-21.06' or similar) during the
        installation of {cuml} or alternatively, follow
        https://github.com/yitao-li/cuml-installation-notes#build-from-source-without-conda-and-without-multi-gpu-support
        or
        https://github.com/yitao-li/cuml-installation-notes#build-from-source-without-conda-and-with-multi-gpu-support
        or similar to build and install RAPIDS cuML library from source, and
        then re-install {cuml}.



A namespace must be able to be loaded with just the base namespace
loaded: otherwise if the namespace gets loaded by a saved object, the
session will be unable to start.

Probably some imports need to be declared in the NAMESPACE file.
Warning in fun(libname, pkgname) :
  
        The current installation of {cuml} will not function as expected
        because it was not linked with a valid version of the RAPIDS cuML shared
        library.

        To fix this issue, please follow https://rapids.ai/start.html#get-rapids
        to install the RAPIDS cuML shared library from Conda and ensure the
        'CUDA_PATH' env variable is set to a valid RAPIDS conda env directory
        (e.g., '/home/user/anaconda3/envs/rapids-21.06' or similar) during the
        installation of {cuml} or alternatively, follow
        https://github.com/yitao-li/cuml-installation-notes#build-from-source-without-conda-and-without-multi-gpu-support
        or
        https://github.com/yitao-li/cuml-installation-notes#build-from-source-without-conda-and-with-multi-gpu-support
        or similar to build and install RAPIDS cuML library from source, and
        then re-install {cuml}.



A namespace must be able to be loaded with just the base namespace
loaded: otherwise if the namespace gets loaded by a saved object, the
session will be unable to start.

Probably some imports need to be declared in the NAMESPACE file.
Warning in fun(libname, pkgname) :
  
        The current installation of {cuml} will not function as expected
        because it was not linked with a valid version of the RAPIDS cuML shared
        library.

        To fix this issue, please follow https://rapids.ai/start.html#get-rapids
        to install the RAPIDS cuML shared library from Conda and ensure the
        'CUDA_PATH' env variable is set to a valid RAPIDS conda env directory
        (e.g., '/home/user/anaconda3/envs/rapids-21.06' or similar) during the
        installation of {cuml} or alternatively, follow
        https://github.com/yitao-li/cuml-installation-notes#build-from-source-without-conda-and-without-multi-gpu-support
        or
        https://github.com/yitao-li/cuml-installation-notes#build-from-source-without-conda-and-with-multi-gpu-support
        or similar to build and install RAPIDS cuML library from source, and
        then re-install {cuml}.



A namespace must be able to be loaded with just the base namespace
loaded: otherwise if the namespace gets loaded by a saved object, the
session will be unable to start.

Probably some imports need to be declared in the NAMESPACE file.
Warning in fun(libname, pkgname) :
  
        The current installation of {cuml} will not function as expected
        because it was not linked with a valid version of the RAPIDS cuML shared
        library.

        To fix this issue, please follow https://rapids.ai/start.html#get-rapids
        to install the RAPIDS cuML shared library from Conda and ensure the
        'CUDA_PATH' env variable is set to a valid RAPIDS conda env directory
        (e.g., '/home/user/anaconda3/envs/rapids-21.06' or similar) during the
        installation of {cuml} or alternatively, follow
        https://github.com/yitao-li/cuml-installation-notes#build-from-source-without-conda-and-without-multi-gpu-support
        or
        https://github.com/yitao-li/cuml-installation-notes#build-from-source-without-conda-and-with-multi-gpu-support
        or similar to build and install RAPIDS cuML library from source, and
        then re-install {cuml}.



A namespace must be able to be loaded with just the base namespace
loaded: otherwise if the namespace gets loaded by a saved object, the
session will be unable to start.

Probably some imports need to be declared in the NAMESPACE file.
Warning in fun(libname, pkgname) :
  
        The current installation of {cuml} will not function as expected
        because it was not linked with a valid version of the RAPIDS cuML shared
        library.

        To fix this issue, please follow https://rapids.ai/start.html#get-rapids
        to install the RAPIDS cuML shared library from Conda and ensure the
        'CUDA_PATH' env variable is set to a valid RAPIDS conda env directory
        (e.g., '/home/user/anaconda3/envs/rapids-21.06' or similar) during the
        installation of {cuml} or alternatively, follow
        https://github.com/yitao-li/cuml-installation-notes#build-from-source-without-conda-and-without-multi-gpu-support
        or
        https://github.com/yitao-li/cuml-installation-notes#build-from-source-without-conda-and-with-multi-gpu-support
        or similar to build and install RAPIDS cuML library from source, and
        then re-install {cuml}.



A namespace must be able to be loaded with just the base namespace
loaded: otherwise if the namespace gets loaded by a saved object, the
session will be unable to start.

Probably some imports need to be declared in the NAMESPACE file.
Warning in fun(libname, pkgname) :
  
        The current installation of {cuml} will not function as expected
        because it was not linked with a valid version of the RAPIDS cuML shared
        library.

        To fix this issue, please follow https://rapids.ai/start.html#get-rapids
        to install the RAPIDS cuML shared library from Conda and ensure the
        'CUDA_PATH' env variable is set to a valid RAPIDS conda env directory
        (e.g., '/home/user/anaconda3/envs/rapids-21.06' or similar) during the
        installation of {cuml} or alternatively, follow
        https://github.com/yitao-li/cuml-installation-notes#build-from-source-without-conda-and-without-multi-gpu-support
        or
        https://github.com/yitao-li/cuml-installation-notes#build-from-source-without-conda-and-with-multi-gpu-support
        or similar to build and install RAPIDS cuML library from source, and
        then re-install {cuml}.



A namespace must be able to be loaded with just the base namespace
loaded: otherwise if the namespace gets loaded by a saved object, the
session will be unable to start.

Probably some imports need to be declared in the NAMESPACE file.
Warning in fun(libname, pkgname) :
  
        The current installation of {cuml} will not function as expected
        because it was not linked with a valid version of the RAPIDS cuML shared
        library.

        To fix this issue, please follow https://rapids.ai/start.html#get-rapids
        to install the RAPIDS cuML shared library from Conda and ensure the
        'CUDA_PATH' env variable is set to a valid RAPIDS conda env directory
        (e.g., '/home/user/anaconda3/envs/rapids-21.06' or similar) during the
        installation of {cuml} or alternatively, follow
        https://github.com/yitao-li/cuml-installation-notes#build-from-source-without-conda-and-without-multi-gpu-support
        or
        https://github.com/yitao-li/cuml-installation-notes#build-from-source-without-conda-and-with-multi-gpu-support
        or similar to build and install RAPIDS cuML library from source, and
        then re-install {cuml}.



A namespace must be able to be loaded with just the base namespace
loaded: otherwise if the namespace gets loaded by a saved object, the
session will be unable to start.

Probably some imports need to be declared in the NAMESPACE file.