Types & classes — github.com/cmccomb/rust-automl

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Types & classes80 in github.com/cmccomb/rust-automl

⨍ Functions 400◇ Types & classes 80

↓ 3 callersEnumPowerTransform

src/settings/preprocessing.rs:293

↓ 1 callersClassDeserializableXGBoostParameters

src/settings/regression_settings.rs:441

↓ 1 callersClassSerializableXGBoostParameters

src/settings/regression_settings.rs:418

InterfaceAlgorithm

Trait representing a supervised learning algorithm.

src/model/supervised.rs:32

ClassBernoulliNBModel

Wrapper around Smartcore's Bernoulli naive Bayes implementation that stores the optional binarization threshold used during training. # Examples ```i

src/algorithms/classification.rs:453

ClassCategoricalEncoderParams

src/settings/preprocessing.rs:237

EnumCategoricalEncoding

src/settings/preprocessing.rs:255

EnumCategoricalState

src/model/preprocessing.rs:1048

EnumClassificationAlgorithm

Supported classification algorithms.

src/algorithms/classification.rs:499

ClassClassificationSettings

Settings for classification models

src/settings/classification_settings.rs:15

ClassClassificationSettingsVisitor

src/settings/classification_settings.rs:333

ClassClusterBaseline

src/model/clustering.rs:167

EnumClusteringAlgorithm

Supported clustering algorithms.

src/algorithms/clustering.rs:17

EnumClusteringAlgorithmName

src/settings/clustering_settings.rs:7

ClassClusteringModel

Trains clustering models

src/model/clustering.rs:18

ClassClusteringSettings

src/settings/clustering_settings.rs:26

ClassColumnFilterParams

src/settings/preprocessing.rs:308

ClassColumnFilterState

src/model/preprocessing.rs:1474

EnumColumnSelector

src/settings/preprocessing.rs:13

ClassComparisonEntry

src/model/comparison.rs:8

src/utils/io.rs:13

src/utils/distance/mod.rs:18

EnumDistanceError

src/utils/distance/error.rs:9

EnumFeatureError

src/utils/features.rs:18

src/settings/common.rs:57

src/settings/classification_settings.rs:275

src/settings/regression_settings.rs:449

ClassFieldVisitor

src/settings/common.rs:71

ClassFieldVisitor

src/settings/classification_settings.rs:293

ClassFieldVisitor

src/settings/regression_settings.rs:467

EnumFinalAlgorithm

src/settings/mod.rs:209

ClassFloatParseError

src/utils/io.rs:245

ClassImputeParams

src/settings/preprocessing.rs:208

EnumImputeStrategy

src/settings/preprocessing.rs:226

ClassImputerState

src/model/preprocessing.rs:955

ClassKNNParameters

src/settings/knn_parameters.rs:9

EnumKNNRegressorDistance

src/utils/distance/mod.rs:49

src/utils/kernels.rs:19

src/settings/mod.rs:182

ClassMinMaxParams

src/settings/preprocessing.rs:160

src/model/error.rs:8

ClassOneHotColumnState

src/model/preprocessing.rs:1183

ClassOneHotEncodingState

src/model/preprocessing.rs:1173

ClassOrdinalColumnState

src/model/preprocessing.rs:1104

ClassOrdinalEncodingState

src/model/preprocessing.rs:1096

ClassOwnedSupportVectorClassifier

Support vector classifier wrapper holding owned kernel parameters.

src/algorithms/classification.rs:321

ClassOwnedSupportVectorRegressor

Support vector regressor wrapper holding owned kernel parameters.

src/algorithms/regression.rs:70

ClassParamsVisitor

src/settings/regression_settings.rs:500

EnumPowerColumnState

src/model/preprocessing.rs:1322

ClassPowerTransformParams

src/settings/preprocessing.rs:275

ClassPowerTransformState

src/model/preprocessing.rs:1314

ClassPreparedSVCParameters

src/algorithms/classification.rs:261

ClassPreparedSVRParameters

src/algorithms/regression.rs:30

ClassPreprocessingPipeline

src/settings/preprocessing.rs:326

EnumPreprocessingStep

src/settings/preprocessing.rs:59

ClassPreprocessor

Handles optional preprocessing steps.

src/model/preprocessing.rs:30

EnumRegressionAlgorithm

`RegressionAlgorithm` options

src/algorithms/regression.rs:360

ClassRegressionSettings

Settings for regression models. Any algorithms in the `skiplist` member will be skipped during training.

src/settings/regression_settings.rs:27

ClassRegressionSettingsVisitor

src/settings/regression_settings.rs:780

ClassRobustScaleParams

src/settings/preprocessing.rs:184

ClassSVCParameters

src/settings/svc_parameters.rs:7

ClassSVRParameters

src/settings/svr_parameters.rs:7

ClassScaleEntry

src/model/preprocessing.rs:644

EnumScaleEntryData

src/model/preprocessing.rs:653

ClassScaleParams

src/settings/preprocessing.rs:131

ClassScaleState

src/model/preprocessing.rs:636

EnumScaleStrategy

src/settings/preprocessing.rs:149

EnumSettingsError

src/settings/error.rs:9

ClassSmartcoreKernel

Smartcore kernel conversion result containing both the enum representation and a boxed kernel function suitable for Smartcore APIs.

src/utils/kernels.rs:10

ClassStandardScaleStats

src/model/preprocessing.rs:671

ClassStandardScalerState

src/model/preprocessing.rs:309

ClassStandardizeParams

src/settings/preprocessing.rs:25

InterfaceSupervisedLearningSettings

Accessor for common supervised settings.

src/model/supervised.rs:72

ClassSupervisedModel

Generic model for supervised algorithms.

src/model/supervised.rs:100

ClassSupervisedSettings

Settings shared by supervised learning models.

src/settings/common.rs:6

ClassSupervisedSettingsVisitor

src/settings/common.rs:101

InterfaceSupervisedTrain

Trait encapsulating shared training logic for supervised algorithms.

src/algorithms/supervised_train.rs:9

ClassTrainedClusteringAlgorithm

Trained clustering algorithm with optional metrics.

src/model/clustering.rs:182

EnumTrainedStep

src/model/preprocessing.rs:286

InterfaceWithSupervisedSettings

Trait exposing builders that delegate to [`SupervisedSettings`].

src/settings/common.rs:257