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Functions400 in github.com/cmccomb/rust-automl

⨍ Functions 400◇ Types & classes 80

Methoddefault_agglomerative

src/algorithms/clustering.rs:48

Methoddefault_bernoulli_nb

src/algorithms/classification.rs:1050

Methoddefault_categorical_nb

src/algorithms/classification.rs:1062

Functiondefault_clustering_trains_all_algorithms

tests/clustering.rs:14

Methoddefault_dbscan

src/algorithms/clustering.rs:54

Methoddefault_decision_tree

src/algorithms/regression.rs:890

Methoddefault_decision_tree_classifier

src/algorithms/classification.rs:1016

Methoddefault_elastic_net

src/algorithms/regression.rs:868

Functiondefault_equals_linear

tests/algorithms.rs:9

Methoddefault_extra_trees_regressor

src/algorithms/regression.rs:882

Methoddefault_gaussian_nb

src/algorithms/classification.rs:1056

Methoddefault_kmeans

src/algorithms/clustering.rs:42

Methoddefault_knn_classifier

src/algorithms/classification.rs:1024

Methoddefault_knn_regressor

src/algorithms/regression.rs:898

Methoddefault_lasso

src/algorithms/regression.rs:862

Methoddefault_linear

src/algorithms/regression.rs:850

Methoddefault_logistic_regression

src/algorithms/classification.rs:1038

Methoddefault_multinomial_nb

src/algorithms/classification.rs:1068

Methoddefault_random_forest

src/algorithms/regression.rs:874

Methoddefault_random_forest_classifier

src/algorithms/classification.rs:1030

Methoddefault_ridge

src/algorithms/regression.rs:856

Methoddefault_support_vector_classifier

src/algorithms/classification.rs:1044

Methoddefault_support_vector_regressor

src/algorithms/regression.rs:904

Methoddefault_xgboost_regressor

src/algorithms/regression.rs:910

Methoddeserialize

(deserializer: D)

src/settings/common.rs:53

Methoddeserialize

(deserializer: D)

src/settings/classification_settings.rs:271

Methoddeserialize

(deserializer: D)

src/settings/regression_settings.rs:445

Functiondiabetes_dataset_has_expected_shape

tests/real_world_datasets.rs:22

Functiondisplay_reflects_skiplist

tests/settings_display.rs:10

(&self, a: &Vec<T>, b: &Vec<T>)

src/utils/distance/mod.rs:61

Functiondistance_trait_behaviors_and_display

tests/distance.rs:15

(&self, other: &Self)

src/algorithms/classification.rs:1229

(&self, other: &Self)

src/algorithms/regression.rs:1084

Functionerrors_on_bad_path

tests/load_labeled_csv.rs:17

Functionerrors_on_bad_path

tests/load_csv_features.rs:13

Functionerrors_on_inconsistent_rows

tests/load_labeled_csv.rs:39

Functionerrors_on_inconsistent_rows

tests/load_csv_features.rs:35

Functionerrors_on_non_numeric

tests/load_labeled_csv.rs:23

Functionerrors_on_non_numeric

tests/load_csv_features.rs:19

Functionerrors_when_target_column_out_of_range

tests/load_labeled_csv.rs:54

Methodexpecting

(&self, formatter: &mut fmt::Formatter<'_>)

src/settings/common.rs:77

Methodexpecting

(&self, formatter: &mut fmt::Formatter<'_>)

src/settings/classification_settings.rs:299

Methodexpecting

(&self, formatter: &mut fmt::Formatter<'_>)

src/settings/regression_settings.rs:472

Methodfailed_to_settings

src/model/preprocessing.rs:281

Methodfeature_error_to_model

(err: FeatureError)

src/model/preprocessing.rs:277

Methodfeature_error_to_settings

(err: FeatureError)

src/model/preprocessing.rs:273

(self, x: &InputArray, y: &OutputArray, settings: &Settings)

src/algorithms/supervised_train.rs:74

Methodfit_and_transform

( data: InputArray, params: &CategoricalEncoderParams, )

src/model/preprocessing.rs:1060

Methodfit_inner

( self, x: &InputArray, y: &OutputArray, settings: &ClassificationSettings,

src/algorithms/classification.rs:585

Methodfit_with_parameters

( x: &InputArray, y: &OutputArray, params: Box<SmartcoreSVCParameters<INPUT, OUTPUT, I

src/algorithms/classification.rs:357

Methodfit_with_parameters

( x: &InputArray, targets: &Vec<INPUT>, params: SmartcoreSVRParameters<INPUT>, )

src/algorithms/regression.rs:106

(&self, f: &mut Formatter<'_>)

src/utils/features.rs:26

(&self, f: &mut fmt::Formatter<'_>)

src/utils/io.rs:23

(&self, f: &mut Formatter<'_>)

src/utils/kernels.rs:34

(&self, f: &mut Formatter<'_>)

src/utils/distance/mod.rs:36

(&self, f: &mut Formatter<'_>)

src/utils/distance/error.rs:15

(&self, f: &mut Formatter<'_>)

src/model/clustering.rs:131

(&self, f: &mut Formatter<'_>)

src/model/supervised.rs:229

(&self, f: &mut Formatter<'_>)

src/model/error.rs:18

(&self, f: &mut Formatter<'_>)

src/settings/mod.rs:196

(&self, f: &mut core::fmt::Formatter<'_>)

src/settings/preprocessing.rs:92

(&self, f: &mut Formatter<'_>)

src/settings/clustering_settings.rs:126

(&self, f: &mut Formatter<'_>)

src/settings/regression_settings.rs:1001

(&self, f: &mut Formatter<'_>)

src/settings/error.rs:19

(&self, f: &mut Formatter<'_>)

src/algorithms/clustering.rs:156

(&self, f: &mut Formatter<'_>)

src/algorithms/classification.rs:1283

(&self, f: &mut Formatter<'_>)

src/algorithms/regression.rs:1144

Create a distance wrapper from [`Distance`]. # Errors Returns [`DistanceError::UnsupportedDistance`] if the distance is not supported.

src/utils/distance/mod.rs:93

(steps: Vec<PreprocessingStep>)

src/settings/preprocessing.rs:364

Methodfrom_iter

src/settings/preprocessing.rs:376

Methodfrom_name

(name: ClusteringAlgorithmName)

src/algorithms/clustering.rs:60

Functiongaussian_nb_requires_settings

src/algorithms/classification.rs:1324

Methodget_kfolds

Delegate to `SupervisedSettings::get_kfolds`.

src/settings/common.rs:342

Methodget_kfolds

src/settings/classification_settings.rs:213

Methodget_kfolds

src/settings/regression_settings.rs:291

Methodget_metric

Retrieve the metric function for classification tasks. # Errors Returns [`SettingsError`] if no metric is set or if the metric is unsupported.

src/settings/classification_settings.rs:64

Functionimputer_fills_missing_mean

tests/preprocessing.rs:53

Functioninteraction_adds_pairwise_products

tests/features.rs:8

Functioninteraction_errors_on_empty_input

tests/features.rs:27

Functioninvalid_alpha_returns_error

tests/classification.rs:247

Functionknn_distance_from_mahalanobis_errors

tests/distance.rs:24

Functionknn_param_conversion_mahalanobis_errors

tests/distance.rs:33

Functionknn_param_conversion_matches_for_classifier_and_regressor

tests/algorithms.rs:47

Functionknn_regressor_requires_settings

src/algorithms/regression.rs:1168

Functionloads_features_matrix

tests/load_csv_features.rs:5

Methodlog_entry

( data: &InputArray, column: usize, offset: f64, )

src/model/preprocessing.rs:1432

Functionlogistic_regression_requires_settings

src/algorithms/classification.rs:1307

examples/maximal_classification.rs:30

examples/diabetes_regression.rs:28

examples/minimal_regression.rs:21

examples/minimal_clustering.rs:17

examples/breast_cancer_csv.rs:27

examples/minimal_classification.rs:26

examples/print_settings.rs:179

examples/maximal_clustering.rs:23

examples/maximal_regression.rs:32

( settings: &ClassificationSettings, )

src/algorithms/classification.rs:991

( settings: &RegressionSettings<INPUT, OUTPUT, InputArray, OutputArray>, )

src/algorithms/regression.rs:825

Functionmin_max_scaling_applies_range

tests/preprocessing.rs:20

Methodmin_max_stats

( data: &InputArray, column: usize, params: &MinMaxParams, )

src/model/preprocessing.rs:804

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