Assigns input data to the training, validation, and test sets so that the
distribution of values found in the categorical column (as specified by the
key field) is mirrored within each split. The fraction values determine
the relative sizes of the splits.
For example, if the specified column has three values, with 50% of the rows
having value "A", 25% value "B", and 25% value "C", and the split fractions
are specified as 80/10/10, then the training set will constitute 80% of the
training data, with about 50% of the training set rows having the value "A"
for the specified column, about 25% having the value "B", and about 25%
having the value "C".
Only the top 500 occurring values are used; any values not in the top
500 values are randomly assigned to a split. If less than three rows contain
a specific value, those rows are randomly assigned.
Supported only for tabular Datasets.
Protobuf type google.cloud.aiplatform.v1beta1.StratifiedSplit
[[["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 2025-01-28 UTC."],[],[]]
