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Functions400 in github.com/cmccomb/rust-automl

↓ 1 callersMethodfit_standardize_step
( &mut self, mut data: InputArray, params: StandardizeParams, )
src/model/preprocessing.rs:196
↓ 1 callersMethodfit_step
( &mut self, data: InputArray, step: &PreprocessingStep, )
src/model/preprocessing.rs:117
↓ 1 callersMethodfit_svd_step
(&mut self, data: &InputArray, n: usize)
src/model/preprocessing.rs:186
↓ 1 callersFunctionload_feature_rows
(path: P)
tests/fixtures/breast_cancer_dataset.rs:10
↓ 1 callersFunctionload_feature_rows
(path: P)
tests/fixtures/diabetes_dataset.rs:10
↓ 1 callersFunctionmost_frequent
(values: &[INPUT])
src/model/preprocessing.rs:578
↓ 1 callersFunctionobjective_from_str
(value: &str)
src/settings/regression_settings.rs:411
↓ 1 callersFunctionobjective_to_str
(objective: &Objective)
src/settings/regression_settings.rs:405
↓ 1 callersMethodoutput_width
(&self)
src/model/preprocessing.rs:1304
↓ 1 callersFunctionparse_feature_row
(record: &StringRecord, row_idx: usize)
src/utils/io.rs:149
↓ 1 callersFunctionparse_label
(raw: &str)
tests/fixtures/breast_cancer_dataset.rs:36
↓ 1 callersFunctionparse_labeled_row
( record: &StringRecord, row_idx: usize, target_col: usize, )
src/utils/io.rs:164
↓ 1 callersMethodpredict_vec
(&self, x: &InputArray)
src/algorithms/classification.rs:377
↓ 1 callersFunctionprepare_bernoulli_dense_matrix
( x: &InputArray, threshold: Option<INPUT>, )
src/algorithms/classification.rs:150
↓ 1 callersMethodpush_step
Mutably push a new step to the end of the pipeline.
src/settings/preprocessing.rs:358
↓ 1 callersMethodrecord_trained_model
(&mut self, trained_model: ComparisonEntry<A>)
src/model/supervised.rs:193
↓ 1 callersMethodsort
(&mut self)
src/model/supervised.rs:198
↓ 1 callersMethodsteps
(&self)
src/settings/preprocessing.rs:345
↓ 1 callersMethodsupervised
(&self)
src/settings/regression_settings.rs:308
↓ 1 callersFunctiontest_from_settings
(settings: ClassificationSettings)
tests/classification.rs:116
↓ 1 callersMethodwith_algorithms
(mut self, algorithms: Vec<ClusteringAlgorithmName>)
src/settings/clustering_settings.rs:96
↓ 1 callersMethodwith_epoch
(mut self, epoch: usize)
src/settings/svc_parameters.rs:21
↓ 1 callersMethodwith_gaussian_nb_settings
(mut self, settings: GaussianNBParameters)
src/settings/classification_settings.rs:100
↓ 1 callersMethodwithout_extra_trees_settings
(mut self)
src/settings/regression_settings.rs:172
↓ 1 callersMethodwithout_svr_settings
(mut self)
src/settings/regression_settings.rs:179
Methodadd_step
(mut self, step: PreprocessingStep)
src/settings/common.rs:310
Methodadd_step
(mut self, step: PreprocessingStep)
src/settings/preprocessing.rs:352
Methodadd_step
(self, step: PreprocessingStep)
src/settings/classification_settings.rs:175
Methodadd_step
(self, step: PreprocessingStep)
src/settings/regression_settings.rs:248
Functionagglomerative_clustering_runs
()
tests/clustering.rs:38
Functionalgorithm_from_name
( name: &str, )
src/settings/regression_settings.rs:372
Methodall_algorithms
(settings: &ClusteringSettings)
src/algorithms/clustering.rs:70
Methodall_algorithms
(settings: &ClassificationSettings)
src/algorithms/classification.rs:1074
Methodall_algorithms
Get a vector of all possible algorithms
src/algorithms/regression.rs:915
Functionall_algorithms_contains_linear
()
tests/algorithms.rs:14
Functionall_algorithms_includes_knn_for_supported_distances
()
tests/algorithms.rs:20
Functionall_algorithms_skips_knn_for_mahalanobis
()
tests/algorithms.rs:35
Methodapply_stateless
( step: &PreprocessingStep, data: InputArray, )
src/model/preprocessing.rs:256
Methodapply_step
( step: &TrainedStep<INPUT, InputArray>, data: InputArray, )
src/model/preprocessing.rs:150
Functionbernoulli_nb_algorithm_available_when_enabled
()
tests/classification.rs:92
Functionbernoulli_nb_binarizes_with_threshold
()
tests/classification.rs:184
Functionbernoulli_nb_rejects_non_binary_without_threshold
()
tests/classification.rs:200
Functionbernoulli_nb_requires_settings
()
src/algorithms/classification.rs:1341
Functionbernoulli_nb_trains_on_binary_features
()
tests/classification.rs:164
Methodbinarize
(&self)
src/algorithms/classification.rs:485
Methodbox_cox_entry
( data: &InputArray, column: usize, lambda: f64, )
src/model/preprocessing.rs:1452
Methodboxed_params
( &self, kernel: Box<dyn smartcore::svm::Kernel>, )
src/algorithms/classification.rs:291
Methodboxed_params_from_template
( &self, )
src/algorithms/classification.rs:308
Functionbreast_cancer_dataset_has_expected_shape
()
tests/real_world_datasets.rs:11
Functioncategorical_encoding_handles_one_hot_and_ordinal
()
tests/preprocessing.rs:69
Functioncategorical_nb_algorithm_available_when_enabled
()
tests/classification.rs:66
Functioncategorical_nb_rejects_fractional_features
()
src/algorithms/classification.rs:1391
Functioncategorical_nb_requires_settings
()
src/algorithms/classification.rs:1358
Functioncategorical_nb_trains_on_integer_features
()
src/algorithms/classification.rs:1411
Functionclassification_builder_delegates
()
tests/supervised_settings.rs:5
Functionclassification_builder_methods_chain
()
tests/settings_display.rs:27
Functionclassification_metric_not_set_returns_error
()
tests/settings_error.rs:5
Functionclassification_metric_unsupported_returns_error
()
tests/settings_error.rs:12
Functionclassification_pca_preprocessing_predicts
()
tests/classification.rs:221
Functionclustering_metrics_compute
()
tests/clustering.rs:62
Functionclustering_model_display_clears_metrics_after_retraining
()
tests/clustering.rs:149
Functionclustering_model_display_shows_baseline_without_ground_truth
()
tests/clustering.rs:132
Functionclustering_model_display_shows_configured_algorithm_when_untrained
()
tests/clustering.rs:116
Functionclustering_model_display_shows_metrics
()
tests/clustering.rs:76
Functionclustering_model_display_shows_metrics_for_fixture_csv
()
tests/clustering.rs:99
Functioncolumn_filter_drops_unwanted_features
()
tests/preprocessing.rs:126
Methodcolumn_std
( data: &InputArray, column: usize, rows: usize, center: INPUT, )
src/model/preprocessing.rs:373
Methodcompute_fill_value
( data: &InputArray, column: usize, strategy: ImputeStrategy, )
src/model/preprocessing.rs:1014
Functionconvert_bernoulli_parameters
( params: &BernoulliNBParameters<f64>, )
src/algorithms/classification.rs:223
Functionconvert_f64_to_input
(value: f64)
src/model/preprocessing.rs:562
Functionconvert_input_predictions_to_output_array
( predictions: Vec<INPUT>, )
src/algorithms/regression.rs:225
Functionconvert_input_predictions_to_output_vec
( predictions: Vec<INPUT>, )
src/algorithms/regression.rs:237
Functionconvert_input_value_to_output
(value: INPUT)
src/algorithms/regression.rs:251
Functionconvert_nonnegative_scalar
(value: f32, name: &str)
src/algorithms/regression.rs:133
Functionconvert_output_value_to_input
(value: OUTPUT)
src/algorithms/regression.rs:198
Functionconvert_positive_scalar
(value: f32, name: &str)
src/algorithms/classification.rs:391
Functionconvert_positive_scalar
(value: f32, name: &str)
src/algorithms/regression.rs:158
Methodconvert_size
(value: usize)
src/model/preprocessing.rs:462
Functionconvert_svc_prediction
(value: INPUT)
src/algorithms/classification.rs:416
Functionconvert_targets_to_input
( targets: &OutputArray, )
src/algorithms/regression.rs:183
Functionconvert_to_categorical_dense_matrix
( x: &InputArray, )
src/algorithms/classification.rs:128
Functionconvert_to_multinomial_dense_matrix
( x: &InputArray, )
src/algorithms/classification.rs:139
Functionconvert_usize_to_input
(value: usize)
src/model/preprocessing.rs:571
Methodcross_validate_model
( self, x: &Self::InputArray, y: &Self::OutputArray, settings: &Classification
src/algorithms/classification.rs:1167
Methodcross_validate_with
( self, estimator: E, params: P, x: &InputArray, y: &OutputArray,
src/algorithms/supervised_train.rs:51
Functiondbscan_clustering_runs
()
tests/clustering.rs:50
Functiondebug_option_formats_complex_value
()
tests/display.rs:44
Functiondebug_option_formats_none
()
tests/display.rs:56
Functiondebug_option_formats_value
()
tests/display.rs:32
Methoddefault
()
src/model/preprocessing.rs:55
Methoddefault
()
src/settings/svr_parameters.rs:49
Methoddefault
()
src/settings/common.rs:16
Methoddefault
()
src/settings/svc_parameters.rs:49
Methoddefault
()
src/settings/preprocessing.rs:33
Methoddefault
()
src/settings/classification_settings.rs:39
Methoddefault
()
src/settings/clustering_settings.rs:42
Methoddefault
()
src/settings/regression_settings.rs:76
Methoddefault
()
src/settings/knn_parameters.rs:97
Methoddefault
()
src/algorithms/classification.rs:1262
Methoddefault
()
src/algorithms/regression.rs:1124
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