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 and Description
AutoMlTablesInputs.Transformation.NumericTransformation.Builder	AutoMlTablesInputs.Transformation.NumericTransformation.Builder.addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
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.clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
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.NumericTransformation.Builder.clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
AutoMlTablesInputs.Transformation.NumericTransformation.Builder	AutoMlTablesInputs.Transformation.NumericTransformation.Builder.clone()
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)
AutoMlTablesInputs.Transformation.NumericTransformation.Builder	AutoMlTablesInputs.Transformation.NumericTransformation.Builder.mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
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.GeneratedMessageV3.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.setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
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.Builder.setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
AutoMlTablesInputs.Transformation.NumericTransformation.Builder	AutoMlTablesInputs.Transformation.NumericTransformation.Builder.setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
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 and 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;