* installing to library ‘/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages’
* installing *source* package ‘keras3’ ...
** this is package ‘keras3’ version ‘1.4.0’
** package ‘keras3’ successfully unpacked and MD5 sums checked
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
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learning_rate_schedule_piecewise_constant_decay
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learning_rate_schedule_polynomial_decay
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load_model html
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loss_squared_hinge html
loss_tversky html
mark_active html
metric_auc html
metric_binary_accuracy html
metric_binary_crossentropy html
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metric_binary_iou html
metric_categorical_accuracy html
metric_categorical_crossentropy html
metric_categorical_focal_crossentropy html
metric_categorical_hinge html
metric_concordance_correlation html
metric_cosine_similarity html
metric_f1_score html
metric_false_negatives html
metric_false_positives html
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metric_hinge html
metric_huber html
metric_iou html
metric_kl_divergence html
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metric_log_cosh_error html
metric_mean html
metric_mean_absolute_error html
metric_mean_absolute_percentage_error html
metric_mean_iou html
metric_mean_squared_error html
metric_mean_squared_logarithmic_error html
metric_mean_wrapper html
metric_one_hot_iou html
metric_one_hot_mean_iou html
metric_pearson_correlation html
metric_poisson html
metric_precision html
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metric_r2_score html
metric_recall html
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metric_root_mean_squared_error html
metric_sensitivity_at_specificity html
metric_sparse_categorical_accuracy html
metric_sparse_categorical_crossentropy
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metric_sparse_top_k_categorical_accuracy
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metric_specificity_at_sensitivity html
metric_squared_hinge html
metric_sum html
metric_top_k_categorical_accuracy html
metric_true_negatives html
metric_true_positives html
multi-assign html
new_callback_class html
new_layer_class html
new_learning_rate_schedule_class html
new_loss_class html
new_metric_class html
new_model_class html
newaxis html
normalize html
op_abs html
op_add html
op_all html
op_any html
op_append html
op_arange html
op_arccos html
op_arccosh html
op_arcsin html
op_arcsinh html
op_arctan html
op_arctan2 html
op_arctanh html
op_argmax html
op_argmin html
op_argpartition html
op_argsort html
op_array html
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op_average html
op_average_pool html
op_batch_normalization html
op_binary_crossentropy html
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op_cast html
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op_ceil html
op_celu html
op_cholesky html
op_clip html
op_concatenate html
op_cond html
op_conj html
op_conv html
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op_convert_to_numpy html
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op_copy html
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op_cos html
op_cosh html
op_count_nonzero html
op_cross html
op_ctc_decode html
op_ctc_loss html
op_cumprod html
op_cumsum html
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op_det html
op_diag html
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op_diagonal html
op_diff html
op_digitize html
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op_dot html
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op_dtype html
op_eig html
op_eigh html
op_einsum html
op_elu html
op_empty html
op_equal html
op_erf html
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op_exp html
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op_extract_sequences html
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op_fft2 html
op_flip html
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op_full_like html
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op_get_item html
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op_hstack html
op_identity html
op_ifft2 html
op_imag html
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op_image_crop html
op_image_extract_patches html
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op_image_hsv_to_rgb html
op_image_map_coordinates html
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op_image_resize html
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op_image_rgb_to_hsv html
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pad_sequences html
pipe html
plot.keras.src.models.model.Model html
plot.keras_training_history html
pop_layer html
predict.keras.src.models.model.Model html
predict_on_batch html
process_utils html
quantize_weights html
random_beta html
random_binomial html
random_categorical html
random_dropout html
random_gamma html
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random_seed_generator html
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reexports html
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reset_state html
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serialize_keras_object html
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set_state_tree html
shape html
split_dataset html
summary.keras.src.models.model.Model html
test_on_batch html
text_dataset_from_directory html
time_distributed html
timeseries_dataset_from_array html
to_categorical html
train_on_batch html
use_backend html
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zip_lists html
*** copying figures
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (keras3)