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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.
|