constants Module

Defines constants used in AutoML in Azure Machine Learning.

To learn about AutoML in Azure Machine Learning, see What is automated machine learning?. For more information about using constants defined in this module, see Configure automated ML experiments.

Classes

FeatureType

Defines names of feature types that are recognized for feature engineering in AutoML.

In typical use cases, you use FeatureType attributes for customizing featuration with the AutoMLConfig class and the featurization parameter.

FeaturizationConfigMode

Defines featurization modes that are used in AutoML.

In typical use cases, you specify featurization in the AutoMLConfig with the featurization parameter.

FeaturizationRunConstants

Constants relevant to the generation of the featurization run, along with default paths for artifacts to be transferred from the setup run.

HTSConstants
LanguageUnicodeRanges

Class storing nons-spaced languages' unicode ranges. Chinese is an example of a non-spaced language.

PredictionTransformTypes

Names for prediction transform types

PreparationRunTypeConstants

Constants for specifying what sort of prep run (e.g. setup only, setup before featurization, featurization only) we're doing before model selection.

RunHistoryEnvironmentVariableNames

Constants for Run History environment variable names.

SDKResourceURLSEnvironmentVariables
SupportedTransformerNames

A list of supported transformers with all customer name and factory method name.

SupportedTransformers

Defines customer-facing names for transformers supported by AutoML.

Transformers are classified for use with Categorical data (e.g., CatImputer), DateTime data (e.g., DataTimeTransformer), Text data (e.g., TfIdf), or for Generic data types (e.g., Imputer).

SupportedTransformersFactoryNames

Method names for transformers. These are Featurizer factory method names.

SupportedTransformersInternal

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

SweepingMode

Defines mode names for feature and class balancing sweeping.

TextDNNLanguages

Class storing supported text dnn languages.

TextNeuralNetworks

Names of neural models swept for text classification.

TransformerName

Transformer names with customer and factory method names.

Init TransformerName.

TransformerNameMappings

Transformer name mappings.

TransformerParams

Defines parameters used by all transformers in AutoML.