Index _ | A | B | C | D | E | F | G | H | I | K | L | M | P | Q | R | S | T | U | V | X _ __init__() (candle.benchmark_def.Benchmark method) (candle.ckpt_keras_utils.CandleCkptKeras method) (candle.ckpt_pytorch_utils.CandleCkptPyTorch method) (candle.ckpt_utils.CandleCkpt method) (candle.ckpt_utils.CandleCkptModel method) (candle.ckpt_utils.ModelType method) (candle.ckpt_utils.ParamRequired method) (candle.ckpt_utils.ParamType method) (candle.clr_keras_utils.CyclicLR method) (candle.generic_utils.Progbar method) (candle.keras_utils.CandleRemoteMonitor method) (candle.keras_utils.LoggingCallback method) (candle.keras_utils.PermanentDropout method) (candle.keras_utils.TerminateOnTimeOut method) (candle.parsing_utils.ArgumentStruct method) (candle.parsing_utils.ConfigDict method) (candle.parsing_utils.ListOfListsAction method) (candle.parsing_utils.ParseDict method) (candle.uq_keras_utils.AbstentionAdapt_Callback method) (candle.uq_keras_utils.Contamination_Callback method) (candle.uq_utils.UQDistDict method) A abstention_acc_class_i_metric() (in module candle.uq_keras_utils) abstention_acc_metric() (in module candle.uq_keras_utils) abstention_class_i_metric() (in module candle.uq_keras_utils) abstention_loss() (in module candle.uq_keras_utils) abstention_metric() (in module candle.uq_keras_utils) AbstentionAdapt_Callback (class in candle.uq_keras_utils) acc_class_i_metric() (in module candle.uq_keras_utils) add_cluster_noise() (in module candle.noise_utils) add_column_noise() (in module candle.noise_utils) add_gaussian_noise() (in module candle.noise_utils) add_index_to_output() (in module candle.uq_keras_utils) add_model_output() (in module candle.uq_keras_utils) add_noise() (in module candle.noise_utils) add_noise_new() (in module candle.noise_utils) aprior() (in module candle.P1_utils) args_overwrite_config() (in module candle.parsing_utils) ArgumentStruct (class in candle.parsing_utils) authenticate_modac() (in module candle.modac_utils) B Benchmark (class in candle.benchmark_def) bprior() (in module candle.P1_utils) build_initializer() (in module candle.keras_utils) build_optimizer() (in module candle.keras_utils) build_pytorch_activation() (in module candle.pytorch_utils) build_pytorch_optimizer() (in module candle.pytorch_utils) C calculate_concordance_correlation_coefficient() (in module candle.P1_utils) candle module CandleCkpt (class in candle.ckpt_utils) CandleCkptKeras (class in candle.ckpt_keras_utils) CandleCkptModel (class in candle.ckpt_utils) CandleCkptPyTorch (class in candle.ckpt_pytorch_utils) CandleRemoteMonitor (class in candle.keras_utils) check_file_parameters_exists() (in module candle.parsing_utils) check_flag_conflicts() (in module candle.parsing_utils) ckpt_defs() (in module candle.ckpt_utils) ckpt_parser() (in module candle.ckpt_utils) clr_callback() (in module candle.clr_keras_utils) clr_check_args() (in module candle.clr_keras_utils) clr_set_args() (in module candle.clr_keras_utils) combat_batch_effect_removal() (in module candle.P1_utils) compute_empirical_calibration_interpolation() (in module candle.uq_utils) compute_limits() (in module candle.uq_utils) compute_statistics_heteroscedastic() (in module candle.uq_utils) compute_statistics_homoscedastic() (in module candle.uq_utils) compute_statistics_homoscedastic_summary() (in module candle.uq_utils) compute_statistics_quantile() (in module candle.uq_utils) compute_trainable_params() (in module candle.keras_utils) ConfigDict (class in candle.parsing_utils) Contamination_Callback (class in candle.uq_keras_utils) contamination_loss() (in module candle.uq_keras_utils) convert_to_class() (in module candle.data_utils) corr() (in module candle.keras_utils) covariance() (in module candle.keras_utils) coxen_multi_drug_gene_selection() (in module candle.P1_utils) coxen_single_drug_gene_selection() (in module candle.P1_utils) create_params() (in module candle.benchmark_def) CyclicLR (class in candle.clr_keras_utils) D design_mat() (in module candle.P1_utils) directory_tree_from_parameters() (in module candle.file_utils) discretize_array() (in module candle.data_utils) discretize_dataframe() (in module candle.data_utils) display_table() (in module candle.generic_utils) drop_impute_and_scale_dataframe() (in module candle.data_utils) E eval_string_as_list() (in module candle.helper_utils) eval_string_as_list_of_lists() (in module candle.helper_utils) evaluate_autoencoder() (in module candle.keras_utils) extract_keywords() (in module candle.parsing_utils) F fetch_file() (in module candle.helper_utils) fill_array() (in module candle.uq_utils) finalize_parameters() (in module candle.parsing_utils) func_dump() (in module candle.generic_utils) func_load() (in module candle.generic_utils) func_reconstruct_closure() (in module candle.generic_utils) G generalization_feature_selection() (in module candle.P1_utils) generate_cross_validation_partition() (in module candle.data_preprocessing_utils) generate_gene_set_data() (in module candle.P1_utils) generate_index_distribution() (in module candle.uq_utils) generate_index_distribution_from_block_list() (in module candle.uq_utils) generate_index_distribution_from_blocks() (in module candle.uq_utils) generate_index_distribution_from_fraction() (in module candle.uq_utils) get_choice() (in module candle.parsing_utils) get_dataObject_modac_filesize() (in module candle.modac_utils) get_dataObject_modac_md5sum() (in module candle.modac_utils) get_dataObject_modac_meta() (in module candle.modac_utils) get_file() (in module candle.file_utils) get_file_from_modac() (in module candle.modac_utils) get_from_module() (in module candle.generic_utils) get_function() (in module candle.keras_utils) get_pytorch_function() (in module candle.pytorch_utils) H heteroscedastic_loss() (in module candle.uq_keras_utils) I impute_and_scale_array() (in module candle.data_utils) it_sol() (in module candle.P1_utils) K keras_default_config() (in module candle.helper_utils) L label_flip() (in module candle.noise_utils) label_flip_correlated() (in module candle.noise_utils) ListOfListsAction (class in candle.parsing_utils) load_csv_data() (in module candle.data_utils) load_X_data() (in module candle.data_utils) load_X_data2() (in module candle.data_utils) load_Xy_data2() (in module candle.data_utils) load_Xy_data_noheader() (in module candle.data_utils) load_Xy_one_hot_data() (in module candle.data_utils) load_Xy_one_hot_data2() (in module candle.data_utils) LoggingCallback (class in candle.keras_utils) lookup() (in module candle.data_utils) M mae() (in module candle.keras_utils) mae_contamination_metric() (in module candle.uq_keras_utils) mae_heteroscedastic_metric() (in module candle.uq_keras_utils) make_tuple() (in module candle.generic_utils) meanS_heteroscedastic_metric() (in module candle.uq_keras_utils) ModelType (class in candle.ckpt_utils) modify_labels() (in module candle.uq_keras_utils) module candle mse() (in module candle.keras_utils) mse_contamination_metric() (in module candle.uq_keras_utils) mse_heteroscedastic_metric() (in module candle.uq_keras_utils) P ParamRequired (class in candle.ckpt_utils) ParamType (class in candle.ckpt_utils) parse_common() (in module candle.parsing_utils) parse_from_dictlist() (in module candle.parsing_utils) ParseDict (class in candle.parsing_utils) PermanentDropout (class in candle.keras_utils) plot_2d_density_sigma_vs_error() (in module candle.viz_utils) plot_array() (in module candle.viz_utils) plot_calibrated_std() (in module candle.viz_utils) plot_calibration_interpolation() (in module candle.viz_utils) plot_contamination() (in module candle.viz_utils) plot_decile_predictions() (in module candle.viz_utils) plot_density_observed_vs_predicted() (in module candle.viz_utils) plot_error() (in module candle.viz_utils) plot_histogram_error_per_sigma() (in module candle.viz_utils) plot_history() (in module candle.viz_utils) plot_metrics() (in module candle.viz_utils) plot_scatter() (in module candle.viz_utils) postmean() (in module candle.P1_utils) postvar() (in module candle.P1_utils) Progbar (class in candle.generic_utils) pytorch_initialize() (in module candle.pytorch_utils) pytorch_mse() (in module candle.pytorch_utils) pytorch_xent() (in module candle.pytorch_utils) Q quantile_loss() (in module candle.uq_keras_utils) quantile_metric() (in module candle.uq_keras_utils) quantile_normalization() (in module candle.data_preprocessing_utils) query_yes_no() (in module candle.modac_utils) R r2() (in module candle.keras_utils) r2_contamination_metric() (in module candle.uq_keras_utils) r2_heteroscedastic_metric() (in module candle.uq_keras_utils) register_file_to_modac() (in module candle.modac_utils) register_permanent_dropout() (in module candle.keras_utils) S scale_array() (in module candle.data_utils) select_decorrelated_features() (in module candle.feature_selection_utils) select_features_by_missing_values() (in module candle.feature_selection_utils) select_features_by_variation() (in module candle.feature_selection_utils) set_parallelism_threads() (in module candle.keras_utils) set_pytorch_seed() (in module candle.pytorch_utils) set_pytorch_threads() (in module candle.pytorch_utils) set_seed() (in module candle.helper_utils) (in module candle.keras_utils) set_up_logger() (in module candle.helper_utils) sparse_abstention_acc_metric() (in module candle.uq_keras_utils) sparse_abstention_loss() (in module candle.uq_keras_utils) split_data_for_empirical_calibration() (in module candle.uq_utils) str2bool() (in module candle.helper_utils) T TerminateOnTimeOut (class in candle.keras_utils) to_categorical() (in module candle.data_utils) triple_quantile_loss() (in module candle.uq_keras_utils) U UQDistDict (class in candle.uq_utils) V validate_file() (in module candle.file_utils) verify_path() (in module candle.helper_utils) X xent() (in module candle.keras_utils)