API for brandon-mosqueda/SKM
Sparse Kernels Methods
| Global functions | |
|---|---|
| BayesianOptimization | Man page Source code |
| KFold | Man page Source code |
| Maize | Man page |
| Matrix_runif | Man page Source code |
| Min_Max_Inverse_Scale_Vec | Man page Source code |
| Min_Max_Scale_Mat | Man page Source code |
| Utility | Man page Source code |
| Utility_Max | Man page Source code |
| Wheat | Man page |
| accuracy | Man page Source code |
| arc_cosine_kernel | Source code |
| arc_cosine_layers | Source code |
| as_tf_rates | Source code |
| assert_base_params | Source code |
| assert_bayesian_model | Source code |
| assert_bayesian_x | Source code |
| assert_bayesian_xy | Source code |
| assert_best_lines_match | Source code |
| assert_bounds | Source code |
| assert_categorical_obs_pred | Source code |
| assert_confusion_matrix | Source code |
| assert_covariance_structure | Source code |
| assert_cv_kfold | Source code |
| assert_cv_kfold_strata | Source code |
| assert_cv_leve_one_group_out | Source code |
| assert_cv_na | Source code |
| assert_cv_one_env_out | Source code |
| assert_cv_random | Source code |
| assert_cv_random_line | Source code |
| assert_cv_random_strata | Source code |
| assert_deep_learning_loss_function | Source code |
| assert_envs | Source code |
| assert_folds | Source code |
| assert_forest_split_rule | Source code |
| assert_geno | Source code |
| assert_geno_markers | Source code |
| assert_gs_summary | Source code |
| assert_is_multivariate | Source code |
| assert_layers | Source code |
| assert_lines | Source code |
| assert_mixed_x | Source code |
| assert_observed_probabilities | Source code |
| assert_optimizer | Source code |
| assert_output_penalties | Source code |
| assert_penalty | Source code |
| assert_pheno | Source code |
| assert_pls_method | Source code |
| assert_positive_class | Source code |
| assert_predict_format | Source code |
| assert_predictors | Source code |
| assert_random_forest_na_action | Source code |
| assert_same_length | Source code |
| assert_seed | Source code |
| assert_sparse_kernel | Source code |
| assert_subset_string | Source code |
| assert_svm_class_weights | Source code |
| assert_svm_kernel | Source code |
| assert_svm_scale | Source code |
| assert_testing_indices | Source code |
| assert_tune_cv | Source code |
| assert_verbose | Source code |
| assert_x | Source code |
| assert_xy | Source code |
| assert_y | Source code |
| bayesian_model | Man page Source code |
| best_lines_match | Man page Source code |
| brier_score | Man page Source code |
| build_mixed_formula | Source code |
| categorical_metrics | Source code |
| categorical_summarise_line | Source code |
| categorical_summary | Man page Source code |
| char_at | Source code |
| checkBounds | Source code |
| checkSubsetString | Source code |
| cholesky | Man page Source code |
| cholesky_no_definite | Man page Source code |
| close_all_devices | Source code |
| coef.Model | Man page Source code |
| compute_standard_errors | Source code |
| confusion_matrix | Man page Source code |
| conventional_kernel | Source code |
| cv_kfold | Man page Source code |
| cv_kfold_strata | Man page Source code |
| cv_leve_one_group_out | Man page Source code |
| cv_na | Man page Source code |
| cv_one_env_out | Man page Source code |
| cv_random | Man page Source code |
| cv_random_line | Man page Source code |
| cv_random_strata | Man page Source code |
| deep_learning | Man page Source code |
| deep_learning_eval_one_fold | Source code |
| deep_learning_tune | Source code |
| diagAK_f | Source code |
| dummy_matrix | Source code |
| echo | Man page Source code |
| exponential_kernel | Source code |
| f1_score | Man page Source code |
| format_bayes_hyperparam | Source code |
| format_glmnet_folds | Source code |
| format_predictions | Source code |
| format_predictors | Source code |
| format_tensorflow_probabilities | Source code |
| generalized_boosted_machine | Man page Source code |
| generalized_linear_model | Man page Source code |
| get_all_levels | Source code |
| get_bglr_matrix_param_name | Source code |
| get_bglr_response_type | Source code |
| get_cols_names | Source code |
| get_cross_validator | Source code |
| get_default_layer_params | Source code |
| get_gbm_distribution | Source code |
| get_gbm_predict_type | Source code |
| get_glmnet_family | Source code |
| get_glmnet_loss | Source code |
| get_keras_optimizer_function | Source code |
| get_last_layer_activation | Source code |
| get_last_layer_neurons_number | Source code |
| get_length | Source code |
| get_levels | Source code |
| get_loss | Source code |
| get_loss_function | Source code |
| get_metric | Source code |
| get_partial_least_squares_formula | Source code |
| get_rand_state | Source code |
| get_random_forest_formula | Source code |
| get_records | Source code |
| get_response | Source code |
| get_response_type | Source code |
| get_tabs | Source code |
| get_tuner | Source code |
| get_verbose_function | Source code |
| gs_bayesian | Man page Source code |
| gs_fast_bayesian | Man page Source code |
| gs_radial | Source code |
| gs_summaries | Man page Source code |
| gs_summaries_single | Source code |
| has | Source code |
| has_dims | Source code |
| has_str | Source code |
| has_to_tune | Source code |
| hush | Man page Source code |
| is_arc_cosine_kernel | Source code |
| is_bayesian_tuner | Source code |
| is_binary_loss | Source code |
| is_binary_response | Source code |
| is_categorical_loss | Source code |
| is_categorical_response | Source code |
| is_class_response | Source code |
| is_continuous_response | Source code |
| is_conventional_kernel | Source code |
| is_discrete | Source code |
| is_discrete_response | Source code |
| is_empty | Man page Source code |
| is_empty_dir | Source code |
| is_hyperparam | Source code |
| is_int | Source code |
| is_number | Source code |
| is_numeric_loss | Source code |
| is_numeric_response | Source code |
| is_sparse_kernel | Source code |
| is_square | Source code |
| is_unix_os | Source code |
| is_windows_os | Source code |
| kappa_coeff | Man page Source code |
| kernelize | Man page Source code |
| l2norm | Source code |
| linear_kernel | Source code |
| lm_intercept | Source code Source code |
| lm_slope | Source code Source code |
| lmerUvcov | Source code |
| lunique | Source code |
| maape | Man page Source code |
| mae | Man page Source code |
| math_mode | Man page Source code |
| matthews_coeff | Man page Source code |
| mixed_model | Man page Source code |
| mkdir | Man page Source code |
| mse | Man page Source code |
| multivariate_loss | Source code |
| nas_indices | Source code |
| ndcg | Man page Source code |
| need_invert_loss | Source code |
| nmaape | Source code |
| nonull | Man page Source code |
| not_implemented_function | Source code |
| nrmse | Man page Source code |
| numeric_metrics | Source code |
| numeric_summarise_line | Source code |
| numeric_summary | Man page Source code |
| partial_least_squares | Man page Source code |
| pccc | Man page Source code |
| pcic | Man page Source code |
| pearson | Man page Source code |
| polynomial_kernel | Source code |
| pr_auc | Man page Source code |
| precision | Man page Source code |
| predict.BayesianModel | Man page Source code |
| predict.MixedModel | Man page Source code |
| predict.Model | Man page Source code |
| predict.PartialLeastSquaresModel | Man page Source code |
| predict_class | Source code |
| predict_numeric | Source code |
| predict_univariate_glm | Source code |
| prepare_bayesian_model | Source code |
| prepare_coef0 | Source code |
| prepare_covariance_type | Source code |
| prepare_degree | Source code |
| prepare_eta | Source code |
| prepare_gamma | Source code |
| prepare_multivariate_y | Source code |
| prepare_multivariate_y_only_numeric | Source code |
| prepare_partial_least_squares_method | Source code |
| prepare_random_forest_na_action | Source code |
| prepare_univariate_y | Source code |
| prepare_y_to_deep_learning | Source code |
| print.CategoricalSummary | Source code |
| print.GSBayesian | Source code |
| print.GSCrossEvaluator | Source code |
| print.GSFastBayesian | Source code |
| print.GSSummaries | Source code |
| print.NumericSummary | Source code |
| print_model_time_execution | Source code |
| proportion_to | Source code |
| py_hush | Source code |
| r2 | Man page Source code |
| radial_eval_one_fold | Source code |
| radial_kernel | Source code |
| radial_kernel_rho | Source code |
| radial_tuner_initialize | Source code |
| random_forest | Man page Source code |
| ranefUvcov | Source code |
| ranefUvcovNew | Source code |
| read_csv | Source code |
| recall | Man page Source code |
| regex_contains | Source code |
| regex_match | Source code |
| relfac | Source code |
| relfac.chol | Source code |
| relfac.evd | Source code |
| remove_if_has_more | Source code |
| remove_no_variance_cols | Source code |
| reorder_se_cols | Source code |
| replace_at_list | Source code |
| replace_by_regex | Source code |
| rmdir | Source code |
| rmse | Man page Source code |
| roc_auc | Man page Source code |
| round_df | Source code |
| sample_prop | Source code |
| sensitivity | Man page Source code |
| set_collapse | Source code |
| set_rand_state | Source code |
| shead | Source code |
| sigmoid_kernel | Source code |
| sparse_kernel | Source code |
| spearman | Man page Source code |
| specificity | Man page Source code |
| stail | Source code |
| str_join | Source code |
| support_vector_machine | Man page Source code |
| symmetric_diff | Source code |
| to_data_frame | Man page Source code |
| to_matrix | Man page Source code |
| train_glm | Source code |
| train_radial_bayes | Source code |
| train_random_forest | Source code |
| validate_bayesian_model | Source code |
| validate_deep_learning | Source code |
| validate_generalized_boosted_machine | Source code |
| validate_generalized_linear_model | Source code |
| validate_gs_fast_bayesian | Source code |
| validate_gs_radial | Source code |
| validate_mixed_model | Source code |
| validate_partial_least_squares | Source code |
| validate_random_forest | Source code |
| validate_support_vector_machine | Source code |
| which_is_na | Source code |
| wrapper_loss | Source code |
| write_csv | Man page Source code |
