Class Transformation (1.38.1)

Version 1.38.1

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Transformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Attributes
Name	Description
auto	google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecastingInputs.Transformation.AutoTransformation This field is a member of oneof_ transformation_detail.
numeric	google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecastingInputs.Transformation.NumericTransformation This field is a member of oneof_ transformation_detail.
categorical	google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecastingInputs.Transformation.CategoricalTransformation This field is a member of oneof_ transformation_detail.
timestamp	google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecastingInputs.Transformation.TimestampTransformation This field is a member of oneof_ transformation_detail.
text	google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecastingInputs.Transformation.TextTransformation This field is a member of oneof_ transformation_detail.

Classes

AutoTransformation

AutoTransformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Training pipeline will infer the proper transformation based on the statistic of dataset.

CategoricalTransformation

CategoricalTransformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Training pipeline will perform following transformation functions.

• The categorical string as is--no change to case, punctuation, spelling, tense, and so on.

• Convert the category name to a dictionary lookup index and generate an embedding for each index.

• Categories that appear less than 5 times in the training dataset are treated as the "unknown" category. The "unknown" category gets its own special lookup index and resulting embedding.

NumericTransformation

NumericTransformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Training pipeline will perform following transformation functions.

• The value converted to float32.

• The z_score of the value.

• log(value+1) when the value is greater than or equal to 0. Otherwise, this transformation is not applied and the value is considered a missing value.

• z_score of log(value+1) when the value is greater than or equal to 0. Otherwise, this transformation is not applied and the value is considered a missing value.

• A boolean value that indicates whether the value is valid.

TextTransformation

TextTransformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Training pipeline will perform following transformation functions.

• The text as is--no change to case, punctuation, spelling, tense, and so on.

• Convert the category name to a dictionary lookup index and generate an embedding for each index.

TimestampTransformation

TimestampTransformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Training pipeline will perform following transformation functions.

• Apply the transformation functions for Numerical columns.

• Determine the year, month, day,and weekday. Treat each value from the timestamp as a Categorical column.

• Invalid numerical values (for example, values that fall outside of a typical timestamp range, or are extreme values) receive no special treatment and are not removed.

Methods

Transformation

Transformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Transformation

Transformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields