Uses of Class
com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation.Builder

Packages that use AutoMlTablesInputs.Transformation.NumericTransformation.Builder

Package	Description
com.google.cloud.aiplatform.v1.schema.trainingjob.definition

Uses of AutoMlTablesInputs.Transformation.NumericTransformation.Builder in com.google.cloud.aiplatform.v1.schema.trainingjob.definition

Methods in com.google.cloud.aiplatform.v1.schema.trainingjob.definition that return AutoMlTablesInputs.Transformation.NumericTransformation.Builder

Modifier and Type	Method	Description
AutoMlTablesInputs.Transformation.NumericTransformation.Builder	AutoMlTablesInputs.Transformation.NumericTransformation.Builder.clear()
AutoMlTablesInputs.Transformation.NumericTransformation.Builder	AutoMlTablesInputs.Transformation.NumericTransformation.Builder.clearColumnName()	string column_name = 1;
AutoMlTablesInputs.Transformation.NumericTransformation.Builder	AutoMlTablesInputs.Transformation.NumericTransformation.Builder.clearInvalidValuesAllowed()	If invalid values is allowed, the training pipeline will create a boolean feature that indicated whether the value is valid.
AutoMlTablesInputs.Transformation.NumericTransformation.Builder	AutoMlTablesInputs.Transformation.Builder.getNumericBuilder()	.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
AutoMlTablesInputs.Transformation.NumericTransformation.Builder	AutoMlTablesInputs.Transformation.NumericTransformation.Builder.mergeFrom(AutoMlTablesInputs.Transformation.NumericTransformation other)
AutoMlTablesInputs.Transformation.NumericTransformation.Builder	AutoMlTablesInputs.Transformation.NumericTransformation.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
AutoMlTablesInputs.Transformation.NumericTransformation.Builder	AutoMlTablesInputs.Transformation.NumericTransformation.Builder.mergeFrom(com.google.protobuf.Message other)
static AutoMlTablesInputs.Transformation.NumericTransformation.Builder	AutoMlTablesInputs.Transformation.NumericTransformation.newBuilder()
static AutoMlTablesInputs.Transformation.NumericTransformation.Builder	AutoMlTablesInputs.Transformation.NumericTransformation.newBuilder(AutoMlTablesInputs.Transformation.NumericTransformation prototype)
AutoMlTablesInputs.Transformation.NumericTransformation.Builder	AutoMlTablesInputs.Transformation.NumericTransformation.newBuilderForType()
protected AutoMlTablesInputs.Transformation.NumericTransformation.Builder	AutoMlTablesInputs.Transformation.NumericTransformation.newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent)
AutoMlTablesInputs.Transformation.NumericTransformation.Builder	AutoMlTablesInputs.Transformation.NumericTransformation.Builder.setColumnName(String value)	string column_name = 1;
AutoMlTablesInputs.Transformation.NumericTransformation.Builder	AutoMlTablesInputs.Transformation.NumericTransformation.Builder.setColumnNameBytes(com.google.protobuf.ByteString value)	string column_name = 1;
AutoMlTablesInputs.Transformation.NumericTransformation.Builder	AutoMlTablesInputs.Transformation.NumericTransformation.Builder.setInvalidValuesAllowed(boolean value)	If invalid values is allowed, the training pipeline will create a boolean feature that indicated whether the value is valid.
AutoMlTablesInputs.Transformation.NumericTransformation.Builder	AutoMlTablesInputs.Transformation.NumericTransformation.toBuilder()

Methods in com.google.cloud.aiplatform.v1.schema.trainingjob.definition with parameters of type AutoMlTablesInputs.Transformation.NumericTransformation.Builder

Modifier and Type	Method	Description
AutoMlTablesInputs.Transformation.Builder	AutoMlTablesInputs.Transformation.Builder.setNumeric(AutoMlTablesInputs.Transformation.NumericTransformation.Builder builderForValue)	.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;