Training pipeline will perform following transformation functions.
The value converted to float32.
The z_score of the value.
log(value+1) when the value is greater than or equal to 0. Otherwise,
this transformation is not applied and the value is considered a
missing value.
z_score of log(value+1) when the value is greater than or equal to 0.
Otherwise, this transformation is not applied and the value is
considered a missing value.
A boolean value that indicates whether the value is valid.
Protobuf type
google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation
If invalid values is allowed, the training pipeline will create a
boolean feature that indicated whether the value is valid.
Otherwise, the training pipeline will discard the input row from
trainining data.
If invalid values is allowed, the training pipeline will create a
boolean feature that indicated whether the value is valid.
Otherwise, the training pipeline will discard the input row from
trainining data.
If invalid values is allowed, the training pipeline will create a
boolean feature that indicated whether the value is valid.
Otherwise, the training pipeline will discard the input row from
trainining data.
[[["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 2025-01-27 UTC."],[],[]]
