Google Cloud Ai Platform V1 Client - Class TimestampSplit (1.13.0)

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Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class TimestampSplit.

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.

Generated from protobuf message google.cloud.aiplatform.v1.TimestampSplit

Namespace

Google \ Cloud \ AIPlatform \ V1

Methods

__construct

Constructor.

Parameters
Name	Description
data	array Optional. Data for populating the Message object.
↳ 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	string 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.

getTrainingFraction

The fraction of the input data that is to be used to train the Model.

Returns
Type	Description
float

setTrainingFraction

The fraction of the input data that is to be used to train the Model.

Parameter
Name	Description
var	float

Returns
Type	Description
$this

getValidationFraction

The fraction of the input data that is to be used to validate the Model.

Returns
Type	Description
float

setValidationFraction

The fraction of the input data that is to be used to validate the Model.

Parameter
Name	Description
var	float

Returns
Type	Description
$this

getTestFraction

The fraction of the input data that is to be used to evaluate the Model.

Returns
Type	Description
float

setTestFraction

The fraction of the input data that is to be used to evaluate the Model.

Parameter
Name	Description
var	float

Returns
Type	Description
$this

getKey

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.

Returns
Type	Description
string

setKey

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.

Parameter
Name	Description
var	string

Returns
Type	Description
$this