Class AutoMlForecastingInputs.Transformation.NumericTransformation.Builder (2.4.0)

public static final class AutoMlForecastingInputs.Transformation.NumericTransformation.Builder extends GeneratedMessageV3.Builder<AutoMlForecastingInputs.Transformation.NumericTransformation.Builder> implements AutoMlForecastingInputs.Transformation.NumericTransformationOrBuilder

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.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > AutoMlForecastingInputs.Transformation.NumericTransformation.Builder

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public AutoMlForecastingInputs.Transformation.NumericTransformation.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder
Overrides

build()

public AutoMlForecastingInputs.Transformation.NumericTransformation build()
Returns
TypeDescription
AutoMlForecastingInputs.Transformation.NumericTransformation

buildPartial()

public AutoMlForecastingInputs.Transformation.NumericTransformation buildPartial()
Returns
TypeDescription
AutoMlForecastingInputs.Transformation.NumericTransformation

clear()

public AutoMlForecastingInputs.Transformation.NumericTransformation.Builder clear()
Returns
TypeDescription
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder
Overrides

clearColumnName()

public AutoMlForecastingInputs.Transformation.NumericTransformation.Builder clearColumnName()

string column_name = 1;

Returns
TypeDescription
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder

This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public AutoMlForecastingInputs.Transformation.NumericTransformation.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
NameDescription
fieldFieldDescriptor
Returns
TypeDescription
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder
Overrides

clearOneof(Descriptors.OneofDescriptor oneof)

public AutoMlForecastingInputs.Transformation.NumericTransformation.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
NameDescription
oneofOneofDescriptor
Returns
TypeDescription
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder
Overrides

clone()

public AutoMlForecastingInputs.Transformation.NumericTransformation.Builder clone()
Returns
TypeDescription
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder
Overrides

getColumnName()

public String getColumnName()

string column_name = 1;

Returns
TypeDescription
String

The columnName.

getColumnNameBytes()

public ByteString getColumnNameBytes()

string column_name = 1;

Returns
TypeDescription
ByteString

The bytes for columnName.

getDefaultInstanceForType()

public AutoMlForecastingInputs.Transformation.NumericTransformation getDefaultInstanceForType()
Returns
TypeDescription
AutoMlForecastingInputs.Transformation.NumericTransformation

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
TypeDescription
Descriptor

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
TypeDescription
Descriptor
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

mergeFrom(AutoMlForecastingInputs.Transformation.NumericTransformation other)

public AutoMlForecastingInputs.Transformation.NumericTransformation.Builder mergeFrom(AutoMlForecastingInputs.Transformation.NumericTransformation other)
Parameter
NameDescription
otherAutoMlForecastingInputs.Transformation.NumericTransformation
Returns
TypeDescription
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public AutoMlForecastingInputs.Transformation.NumericTransformation.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder
Overrides Exceptions
TypeDescription
IOException

mergeFrom(Message other)

public AutoMlForecastingInputs.Transformation.NumericTransformation.Builder mergeFrom(Message other)
Parameter
NameDescription
otherMessage
Returns
TypeDescription
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final AutoMlForecastingInputs.Transformation.NumericTransformation.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder
Overrides

setColumnName(String value)

public AutoMlForecastingInputs.Transformation.NumericTransformation.Builder setColumnName(String value)

string column_name = 1;

Parameter
NameDescription
valueString

The columnName to set.

Returns
TypeDescription
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder

This builder for chaining.

setColumnNameBytes(ByteString value)

public AutoMlForecastingInputs.Transformation.NumericTransformation.Builder setColumnNameBytes(ByteString value)

string column_name = 1;

Parameter
NameDescription
valueByteString

The bytes for columnName to set.

Returns
TypeDescription
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder

This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public AutoMlForecastingInputs.Transformation.NumericTransformation.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder
Overrides

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public AutoMlForecastingInputs.Transformation.NumericTransformation.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
NameDescription
fieldFieldDescriptor
indexint
valueObject
Returns
TypeDescription
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder
Overrides

setUnknownFields(UnknownFieldSet unknownFields)

public final AutoMlForecastingInputs.Transformation.NumericTransformation.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
AutoMlForecastingInputs.Transformation.NumericTransformation.Builder
Overrides