SupportedTransformersInternal class

Definition

Defines transformer names for all transformers supported by AutoML, including those not exposed.

Inheritance
builtins.object
SupportedTransformersInternal

Attributes

AveragedPerceptronTextTargetEncoder

AveragedPerceptronTextTargetEncoder = 'AveragedPerceptronTextTargetEncoder'

BagOfWordsTransformer

BagOfWordsTransformer = 'BagOfWordsTransformer'

BinTransformer

BinTransformer = 'BinTransformer'

Drop

Drop = ''

FULL_SET

FULL_SET = {'', 'Imputer', 'WoETargetEncoder', 'CatImputer', 'TextStats', 'MaxAbsScaler', 'BagOfWordsTransformer', 'BinTransformer', 'NaiveBayes', 'LambdaTransformer', 'MiniBatchKMeans', 'CountVectorizer', 'DateTimeTransformer', 'StringCast', 'LabelEncoder', 'RollingWindow', 'Lag', 'CatTargetEncoder', 'TfIdf', 'HashOneHotEncoder', 'StringConcat', 'WordEmbedding', 'AveragedPerceptronTextTargetEncoder', 'OneHotEncoder', 'TextTargetEncoder', 'ImputationMarker', 'STLFeaturizer', 'GrainMarker', 'MaxHorizonFeaturizer'}

GrainMarker

GrainMarker = 'GrainMarker'

Lag

Lag = 'Lag'

LambdaTransformer

LambdaTransformer = 'LambdaTransformer'

MaxHorizonFeaturizer

MaxHorizonFeaturizer = 'MaxHorizonFeaturizer'

MiniBatchKMeans

MiniBatchKMeans = 'MiniBatchKMeans'

RollingWindow

RollingWindow = 'RollingWindow'

STLFeaturizer

STLFeaturizer = 'STLFeaturizer'

StringConcat

StringConcat = 'StringConcat'

TextStats

TextStats = 'TextStats'