Uses of Class
com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.Builder

Packages that use AutoMlForecastingInputs.Transformation.Builder

Package	Description
com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition

Uses of AutoMlForecastingInputs.Transformation.Builder in com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition

Methods in com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition that return AutoMlForecastingInputs.Transformation.Builder

Modifier and Type	Method and Description
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Builder.addTransformationsBuilder() Each transformation will apply transform function to given input column.
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Builder.addTransformationsBuilder(int index) Each transformation will apply transform function to given input column.
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.clear()
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.clearAuto() .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation auto = 1;
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.clearCategorical() .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation categorical = 3;
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.clearNumeric() .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation numeric = 2;
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.clearText() .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation text = 5;
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.clearTimestamp() .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation timestamp = 4;
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.clearTransformationDetail()
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.clone()
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Builder.getTransformationsBuilder(int index) Each transformation will apply transform function to given input column.
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.mergeAuto(AutoMlForecastingInputs.Transformation.AutoTransformation value) .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation auto = 1;
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.mergeCategorical(AutoMlForecastingInputs.Transformation.CategoricalTransformation value) .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation categorical = 3;
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.mergeFrom(AutoMlForecastingInputs.Transformation other)
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.mergeFrom(com.google.protobuf.Message other)
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.mergeNumeric(AutoMlForecastingInputs.Transformation.NumericTransformation value) .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation numeric = 2;
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.mergeText(AutoMlForecastingInputs.Transformation.TextTransformation value) .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation text = 5;
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.mergeTimestamp(AutoMlForecastingInputs.Transformation.TimestampTransformation value) .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation timestamp = 4;
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
static AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.newBuilder()
static AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.newBuilder(AutoMlForecastingInputs.Transformation prototype)
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.newBuilderForType()
protected AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.setAuto(AutoMlForecastingInputs.Transformation.AutoTransformation.Builder builderForValue) .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation auto = 1;
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.setAuto(AutoMlForecastingInputs.Transformation.AutoTransformation value) .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation auto = 1;
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.setCategorical(AutoMlForecastingInputs.Transformation.CategoricalTransformation.Builder builderForValue) .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation categorical = 3;
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.setCategorical(AutoMlForecastingInputs.Transformation.CategoricalTransformation value) .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation categorical = 3;
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.setNumeric(AutoMlForecastingInputs.Transformation.NumericTransformation.Builder builderForValue) .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation numeric = 2;
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.setNumeric(AutoMlForecastingInputs.Transformation.NumericTransformation value) .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation numeric = 2;
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.setText(AutoMlForecastingInputs.Transformation.TextTransformation.Builder builderForValue) .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation text = 5;
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.setText(AutoMlForecastingInputs.Transformation.TextTransformation value) .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation text = 5;
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.setTimestamp(AutoMlForecastingInputs.Transformation.TimestampTransformation.Builder builderForValue) .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation timestamp = 4;
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.setTimestamp(AutoMlForecastingInputs.Transformation.TimestampTransformation value) .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation timestamp = 4;
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.Builder.setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
AutoMlForecastingInputs.Transformation.Builder	AutoMlForecastingInputs.Transformation.toBuilder()

Methods in com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition that return types with arguments of type AutoMlForecastingInputs.Transformation.Builder

Modifier and Type	Method and Description
List<AutoMlForecastingInputs.Transformation.Builder>	AutoMlForecastingInputs.Builder.getTransformationsBuilderList() Each transformation will apply transform function to given input column.

Methods in com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition with parameters of type AutoMlForecastingInputs.Transformation.Builder

Modifier and Type	Method and Description
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.addTransformations(AutoMlForecastingInputs.Transformation.Builder builderForValue) Each transformation will apply transform function to given input column.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.addTransformations(int index, AutoMlForecastingInputs.Transformation.Builder builderForValue) Each transformation will apply transform function to given input column.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setTransformations(int index, AutoMlForecastingInputs.Transformation.Builder builderForValue) Each transformation will apply transform function to given input column.