Class AutoMlForecastingInputs.Transformation (3.29.0)

public static final class AutoMlForecastingInputs.Transformation extends GeneratedMessageV3 implements AutoMlForecastingInputs.TransformationOrBuilder

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation

Inheritance

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

Static Fields

AUTO_FIELD_NUMBER

public static final int AUTO_FIELD_NUMBER
Field Value
TypeDescription
int

CATEGORICAL_FIELD_NUMBER

public static final int CATEGORICAL_FIELD_NUMBER
Field Value
TypeDescription
int

NUMERIC_FIELD_NUMBER

public static final int NUMERIC_FIELD_NUMBER
Field Value
TypeDescription
int

TEXT_FIELD_NUMBER

public static final int TEXT_FIELD_NUMBER
Field Value
TypeDescription
int

TIMESTAMP_FIELD_NUMBER

public static final int TIMESTAMP_FIELD_NUMBER
Field Value
TypeDescription
int

Static Methods

getDefaultInstance()

public static AutoMlForecastingInputs.Transformation getDefaultInstance()
Returns
TypeDescription
AutoMlForecastingInputs.Transformation

getDescriptor()

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

newBuilder()

public static AutoMlForecastingInputs.Transformation.Builder newBuilder()
Returns
TypeDescription
AutoMlForecastingInputs.Transformation.Builder

newBuilder(AutoMlForecastingInputs.Transformation prototype)

public static AutoMlForecastingInputs.Transformation.Builder newBuilder(AutoMlForecastingInputs.Transformation prototype)
Parameter
NameDescription
prototypeAutoMlForecastingInputs.Transformation
Returns
TypeDescription
AutoMlForecastingInputs.Transformation.Builder

parseDelimitedFrom(InputStream input)

public static AutoMlForecastingInputs.Transformation parseDelimitedFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
AutoMlForecastingInputs.Transformation
Exceptions
TypeDescription
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static AutoMlForecastingInputs.Transformation parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
AutoMlForecastingInputs.Transformation
Exceptions
TypeDescription
IOException

parseFrom(byte[] data)

public static AutoMlForecastingInputs.Transformation parseFrom(byte[] data)
Parameter
NameDescription
databyte[]
Returns
TypeDescription
AutoMlForecastingInputs.Transformation
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static AutoMlForecastingInputs.Transformation parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
databyte[]
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
AutoMlForecastingInputs.Transformation
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data)

public static AutoMlForecastingInputs.Transformation parseFrom(ByteString data)
Parameter
NameDescription
dataByteString
Returns
TypeDescription
AutoMlForecastingInputs.Transformation
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static AutoMlForecastingInputs.Transformation parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteString
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
AutoMlForecastingInputs.Transformation
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static AutoMlForecastingInputs.Transformation parseFrom(CodedInputStream input)
Parameter
NameDescription
inputCodedInputStream
Returns
TypeDescription
AutoMlForecastingInputs.Transformation
Exceptions
TypeDescription
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static AutoMlForecastingInputs.Transformation parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
AutoMlForecastingInputs.Transformation
Exceptions
TypeDescription
IOException

parseFrom(InputStream input)

public static AutoMlForecastingInputs.Transformation parseFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
AutoMlForecastingInputs.Transformation
Exceptions
TypeDescription
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static AutoMlForecastingInputs.Transformation parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
AutoMlForecastingInputs.Transformation
Exceptions
TypeDescription
IOException

parseFrom(ByteBuffer data)

public static AutoMlForecastingInputs.Transformation parseFrom(ByteBuffer data)
Parameter
NameDescription
dataByteBuffer
Returns
TypeDescription
AutoMlForecastingInputs.Transformation
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static AutoMlForecastingInputs.Transformation parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteBuffer
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
AutoMlForecastingInputs.Transformation
Exceptions
TypeDescription
InvalidProtocolBufferException

parser()

public static Parser<AutoMlForecastingInputs.Transformation> parser()
Returns
TypeDescription
Parser<Transformation>

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
NameDescription
objObject
Returns
TypeDescription
boolean
Overrides

getAuto()

public AutoMlForecastingInputs.Transformation.AutoTransformation getAuto()

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation auto = 1;

Returns
TypeDescription
AutoMlForecastingInputs.Transformation.AutoTransformation

The auto.

getAutoOrBuilder()

public AutoMlForecastingInputs.Transformation.AutoTransformationOrBuilder getAutoOrBuilder()

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation auto = 1;

Returns
TypeDescription
AutoMlForecastingInputs.Transformation.AutoTransformationOrBuilder

getCategorical()

public AutoMlForecastingInputs.Transformation.CategoricalTransformation getCategorical()

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation categorical = 3;

Returns
TypeDescription
AutoMlForecastingInputs.Transformation.CategoricalTransformation

The categorical.

getCategoricalOrBuilder()

public AutoMlForecastingInputs.Transformation.CategoricalTransformationOrBuilder getCategoricalOrBuilder()

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation categorical = 3;

Returns
TypeDescription
AutoMlForecastingInputs.Transformation.CategoricalTransformationOrBuilder

getDefaultInstanceForType()

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

getNumeric()

public AutoMlForecastingInputs.Transformation.NumericTransformation getNumeric()

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation numeric = 2;

Returns
TypeDescription
AutoMlForecastingInputs.Transformation.NumericTransformation

The numeric.

getNumericOrBuilder()

public AutoMlForecastingInputs.Transformation.NumericTransformationOrBuilder getNumericOrBuilder()

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation numeric = 2;

Returns
TypeDescription
AutoMlForecastingInputs.Transformation.NumericTransformationOrBuilder

getParserForType()

public Parser<AutoMlForecastingInputs.Transformation> getParserForType()
Returns
TypeDescription
Parser<Transformation>
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
TypeDescription
int
Overrides

getText()

public AutoMlForecastingInputs.Transformation.TextTransformation getText()

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation text = 5;

Returns
TypeDescription
AutoMlForecastingInputs.Transformation.TextTransformation

The text.

getTextOrBuilder()

public AutoMlForecastingInputs.Transformation.TextTransformationOrBuilder getTextOrBuilder()

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation text = 5;

Returns
TypeDescription
AutoMlForecastingInputs.Transformation.TextTransformationOrBuilder

getTimestamp()

public AutoMlForecastingInputs.Transformation.TimestampTransformation getTimestamp()

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation timestamp = 4;

Returns
TypeDescription
AutoMlForecastingInputs.Transformation.TimestampTransformation

The timestamp.

getTimestampOrBuilder()

public AutoMlForecastingInputs.Transformation.TimestampTransformationOrBuilder getTimestampOrBuilder()

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation timestamp = 4;

Returns
TypeDescription
AutoMlForecastingInputs.Transformation.TimestampTransformationOrBuilder

getTransformationDetailCase()

public AutoMlForecastingInputs.Transformation.TransformationDetailCase getTransformationDetailCase()
Returns
TypeDescription
AutoMlForecastingInputs.Transformation.TransformationDetailCase

hasAuto()

public boolean hasAuto()

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation auto = 1;

Returns
TypeDescription
boolean

Whether the auto field is set.

hasCategorical()

public boolean hasCategorical()

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation categorical = 3;

Returns
TypeDescription
boolean

Whether the categorical field is set.

hasNumeric()

public boolean hasNumeric()

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation numeric = 2;

Returns
TypeDescription
boolean

Whether the numeric field is set.

hasText()

public boolean hasText()

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation text = 5;

Returns
TypeDescription
boolean

Whether the text field is set.

hasTimestamp()

public boolean hasTimestamp()

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation timestamp = 4;

Returns
TypeDescription
boolean

Whether the timestamp field is set.

hashCode()

public int hashCode()
Returns
TypeDescription
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

newBuilderForType()

public AutoMlForecastingInputs.Transformation.Builder newBuilderForType()
Returns
TypeDescription
AutoMlForecastingInputs.Transformation.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected AutoMlForecastingInputs.Transformation.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
NameDescription
parentBuilderParent
Returns
TypeDescription
AutoMlForecastingInputs.Transformation.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
NameDescription
unusedUnusedPrivateParameter
Returns
TypeDescription
Object
Overrides

toBuilder()

public AutoMlForecastingInputs.Transformation.Builder toBuilder()
Returns
TypeDescription
AutoMlForecastingInputs.Transformation.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
NameDescription
outputCodedOutputStream
Overrides
Exceptions
TypeDescription
IOException