Class AutoMlTablesInputs.Transformation.TextTransformation.Builder (3.84.0)
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Training pipeline will perform following transformation functions.
The text as is--no change to case, punctuation, spelling, tense, and
so
on.
Tokenize text to words. Convert each words to a dictionary lookup
index
and generate an embedding for each index. Combine the embedding of all
elements into a single embedding using the mean.
Tokenization is based on unicode script boundaries.
Missing values get their own lookup index and resulting embedding.
Stop-words receive no special treatment and are not removed.
Protobuf type
google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation
[[["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 2026-01-31 UTC."],[],[]]