Class TimestampSplit (0.7.1)

Version 0.7.1

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

Assigns input data to training, validation, and test sets based on a provided timestamps. The youngest data pieces are assigned to training set, next to validation set, and the oldest to the test set. Supported only for tabular Datasets.

Attributes

Name	Description
training_fraction	float The fraction of the input data that is to be used to train the Model.
validation_fraction	float The fraction of the input data that is to be used to validate the Model.
test_fraction	float The fraction of the input data that is to be used to evaluate the Model.
key	str Required. The key is a name of one of the Dataset's data columns. The values of the key (the values in the column) must be in RFC 3339 ``date-time`` format, where ``time-offset`` = ``"Z"`` (e.g. 1985-04-12T23:20:50.52Z). If for a piece of data the key is not present or has an invalid value, that piece is ignored by the pipeline.

Inheritance

builtins.object > proto.message.Message > TimestampSplit