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 messagegoogle.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 3339date-timeformat, wheretime-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 3339date-timeformat, wheretime-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 3339date-timeformat, wheretime-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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-04 UTC."],[],[],null,["# Google Cloud Ai Platform V1 Client - Class TimestampSplit (1.35.0)\n\nVersion latestkeyboard_arrow_down\n\n- [1.35.0 (latest)](/php/docs/reference/cloud-ai-platform/latest/V1.TimestampSplit)\n- [1.34.0](/php/docs/reference/cloud-ai-platform/1.34.0/V1.TimestampSplit)\n- [1.33.0](/php/docs/reference/cloud-ai-platform/1.33.0/V1.TimestampSplit)\n- [1.32.1](/php/docs/reference/cloud-ai-platform/1.32.1/V1.TimestampSplit)\n- [1.31.0](/php/docs/reference/cloud-ai-platform/1.31.0/V1.TimestampSplit)\n- [1.30.0](/php/docs/reference/cloud-ai-platform/1.30.0/V1.TimestampSplit)\n- [1.26.0](/php/docs/reference/cloud-ai-platform/1.26.0/V1.TimestampSplit)\n- [1.23.0](/php/docs/reference/cloud-ai-platform/1.23.0/V1.TimestampSplit)\n- [1.22.0](/php/docs/reference/cloud-ai-platform/1.22.0/V1.TimestampSplit)\n- [1.21.0](/php/docs/reference/cloud-ai-platform/1.21.0/V1.TimestampSplit)\n- [1.20.0](/php/docs/reference/cloud-ai-platform/1.20.0/V1.TimestampSplit)\n- [1.19.0](/php/docs/reference/cloud-ai-platform/1.19.0/V1.TimestampSplit)\n- [1.18.0](/php/docs/reference/cloud-ai-platform/1.18.0/V1.TimestampSplit)\n- [1.17.0](/php/docs/reference/cloud-ai-platform/1.17.0/V1.TimestampSplit)\n- [1.16.0](/php/docs/reference/cloud-ai-platform/1.16.0/V1.TimestampSplit)\n- [1.15.0](/php/docs/reference/cloud-ai-platform/1.15.0/V1.TimestampSplit)\n- [1.14.0](/php/docs/reference/cloud-ai-platform/1.14.0/V1.TimestampSplit)\n- [1.13.1](/php/docs/reference/cloud-ai-platform/1.13.1/V1.TimestampSplit)\n- [1.12.0](/php/docs/reference/cloud-ai-platform/1.12.0/V1.TimestampSplit)\n- [1.11.0](/php/docs/reference/cloud-ai-platform/1.11.0/V1.TimestampSplit)\n- [1.10.0](/php/docs/reference/cloud-ai-platform/1.10.0/V1.TimestampSplit)\n- [1.9.0](/php/docs/reference/cloud-ai-platform/1.9.0/V1.TimestampSplit)\n- [1.8.0](/php/docs/reference/cloud-ai-platform/1.8.0/V1.TimestampSplit)\n- [1.7.0](/php/docs/reference/cloud-ai-platform/1.7.0/V1.TimestampSplit)\n- [1.6.0](/php/docs/reference/cloud-ai-platform/1.6.0/V1.TimestampSplit)\n- [1.5.0](/php/docs/reference/cloud-ai-platform/1.5.0/V1.TimestampSplit)\n- [1.4.0](/php/docs/reference/cloud-ai-platform/1.4.0/V1.TimestampSplit)\n- [1.3.0](/php/docs/reference/cloud-ai-platform/1.3.0/V1.TimestampSplit)\n- [1.2.0](/php/docs/reference/cloud-ai-platform/1.2.0/V1.TimestampSplit)\n- [1.1.0](/php/docs/reference/cloud-ai-platform/1.1.0/V1.TimestampSplit)\n- [1.0.0](/php/docs/reference/cloud-ai-platform/1.0.0/V1.TimestampSplit)\n- [0.39.0](/php/docs/reference/cloud-ai-platform/0.39.0/V1.TimestampSplit)\n- [0.38.0](/php/docs/reference/cloud-ai-platform/0.38.0/V1.TimestampSplit)\n- [0.37.1](/php/docs/reference/cloud-ai-platform/0.37.1/V1.TimestampSplit)\n- [0.32.0](/php/docs/reference/cloud-ai-platform/0.32.0/V1.TimestampSplit)\n- [0.31.0](/php/docs/reference/cloud-ai-platform/0.31.0/V1.TimestampSplit)\n- [0.30.0](/php/docs/reference/cloud-ai-platform/0.30.0/V1.TimestampSplit)\n- [0.29.0](/php/docs/reference/cloud-ai-platform/0.29.0/V1.TimestampSplit)\n- [0.28.0](/php/docs/reference/cloud-ai-platform/0.28.0/V1.TimestampSplit)\n- [0.27.0](/php/docs/reference/cloud-ai-platform/0.27.0/V1.TimestampSplit)\n- [0.26.2](/php/docs/reference/cloud-ai-platform/0.26.2/V1.TimestampSplit)\n- [0.25.0](/php/docs/reference/cloud-ai-platform/0.25.0/V1.TimestampSplit)\n- [0.24.0](/php/docs/reference/cloud-ai-platform/0.24.0/V1.TimestampSplit)\n- [0.23.0](/php/docs/reference/cloud-ai-platform/0.23.0/V1.TimestampSplit)\n- [0.22.0](/php/docs/reference/cloud-ai-platform/0.22.0/V1.TimestampSplit)\n- [0.21.0](/php/docs/reference/cloud-ai-platform/0.21.0/V1.TimestampSplit)\n- [0.20.0](/php/docs/reference/cloud-ai-platform/0.20.0/V1.TimestampSplit)\n- [0.19.0](/php/docs/reference/cloud-ai-platform/0.19.0/V1.TimestampSplit)\n- [0.18.0](/php/docs/reference/cloud-ai-platform/0.18.0/V1.TimestampSplit)\n- [0.17.0](/php/docs/reference/cloud-ai-platform/0.17.0/V1.TimestampSplit)\n- [0.16.0](/php/docs/reference/cloud-ai-platform/0.16.0/V1.TimestampSplit)\n- [0.15.0](/php/docs/reference/cloud-ai-platform/0.15.0/V1.TimestampSplit)\n- [0.13.0](/php/docs/reference/cloud-ai-platform/0.13.0/V1.TimestampSplit)\n- [0.12.0](/php/docs/reference/cloud-ai-platform/0.12.0/V1.TimestampSplit)\n- [0.11.1](/php/docs/reference/cloud-ai-platform/0.11.1/V1.TimestampSplit)\n- [0.10.0](/php/docs/reference/cloud-ai-platform/0.10.0/V1.TimestampSplit) \nReference documentation and code samples for the Google Cloud Ai Platform V1 Client class TimestampSplit.\n\nAssigns input data to training, validation, and test sets based on a\nprovided timestamps. The youngest data pieces are assigned to training set,\nnext to validation set, and the oldest to the test set.\n\nSupported only for tabular Datasets.\n\nGenerated from protobuf message `google.cloud.aiplatform.v1.TimestampSplit`\n\nNamespace\n---------\n\nGoogle \\\\ Cloud \\\\ AIPlatform \\\\ V1\n\nMethods\n-------\n\n### __construct\n\nConstructor.\n\n### getTrainingFraction\n\nThe fraction of the input data that is to be used to train the Model.\n\n### setTrainingFraction\n\nThe fraction of the input data that is to be used to train the Model.\n\n### getValidationFraction\n\nThe fraction of the input data that is to be used to validate the Model.\n\n### setValidationFraction\n\nThe fraction of the input data that is to be used to validate the Model.\n\n### getTestFraction\n\nThe fraction of the input data that is to be used to evaluate the Model.\n\n### setTestFraction\n\nThe fraction of the input data that is to be used to evaluate the Model.\n\n### getKey\n\nRequired. The key is a name of one of the Dataset's data columns.\n\nThe values of the key (the values in the column) must be in RFC 3339\n`date-time` format, where `time-offset` = `\"Z\"`\n(e.g. 1985-04-12T23:20:50.52Z). If for a piece of data the key is not\npresent or has an invalid value, that piece is ignored by the pipeline.\n\n### setKey\n\nRequired. The key is a name of one of the Dataset's data columns.\n\nThe values of the key (the values in the column) must be in RFC 3339\n`date-time` format, where `time-offset` = `\"Z\"`\n(e.g. 1985-04-12T23:20:50.52Z). If for a piece of data the key is not\npresent or has an invalid value, that piece is ignored by the pipeline."]]
