Class FractionSplit.Builder (3.5.0)

public static final class FractionSplit.Builder extends GeneratedMessageV3.Builder<FractionSplit.Builder> implements FractionSplitOrBuilder

Assigns the input data to training, validation, and test sets as per the given fractions. Any of training_fraction, validation_fraction and test_fraction may optionally be provided, they must sum to up to 1. If the provided ones sum to less than 1, the remainder is assigned to sets as decided by Vertex AI. If none of the fractions are set, by default roughly 80% of data is used for training, 10% for validation, and 10% for test.

Protobuf type google.cloud.aiplatform.v1.FractionSplit

Static Methods

getDescriptor()

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

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

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

build()

public FractionSplit build()
Returns
TypeDescription
FractionSplit

buildPartial()

public FractionSplit buildPartial()
Returns
TypeDescription
FractionSplit

clear()

public FractionSplit.Builder clear()
Returns
TypeDescription
FractionSplit.Builder
Overrides

clearField(Descriptors.FieldDescriptor field)

public FractionSplit.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
NameDescription
fieldFieldDescriptor
Returns
TypeDescription
FractionSplit.Builder
Overrides

clearOneof(Descriptors.OneofDescriptor oneof)

public FractionSplit.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
NameDescription
oneofOneofDescriptor
Returns
TypeDescription
FractionSplit.Builder
Overrides

clearTestFraction()

public FractionSplit.Builder clearTestFraction()

The fraction of the input data that is to be used to evaluate the Model.

double test_fraction = 3;

Returns
TypeDescription
FractionSplit.Builder

This builder for chaining.

clearTrainingFraction()

public FractionSplit.Builder clearTrainingFraction()

The fraction of the input data that is to be used to train the Model.

double training_fraction = 1;

Returns
TypeDescription
FractionSplit.Builder

This builder for chaining.

clearValidationFraction()

public FractionSplit.Builder clearValidationFraction()

The fraction of the input data that is to be used to validate the Model.

double validation_fraction = 2;

Returns
TypeDescription
FractionSplit.Builder

This builder for chaining.

clone()

public FractionSplit.Builder clone()
Returns
TypeDescription
FractionSplit.Builder
Overrides

getDefaultInstanceForType()

public FractionSplit getDefaultInstanceForType()
Returns
TypeDescription
FractionSplit

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
TypeDescription
Descriptor
Overrides

getTestFraction()

public double getTestFraction()

The fraction of the input data that is to be used to evaluate the Model.

double test_fraction = 3;

Returns
TypeDescription
double

The testFraction.

getTrainingFraction()

public double getTrainingFraction()

The fraction of the input data that is to be used to train the Model.

double training_fraction = 1;

Returns
TypeDescription
double

The trainingFraction.

getValidationFraction()

public double getValidationFraction()

The fraction of the input data that is to be used to validate the Model.

double validation_fraction = 2;

Returns
TypeDescription
double

The validationFraction.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

mergeFrom(FractionSplit other)

public FractionSplit.Builder mergeFrom(FractionSplit other)
Parameter
NameDescription
otherFractionSplit
Returns
TypeDescription
FractionSplit.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

mergeFrom(Message other)

public FractionSplit.Builder mergeFrom(Message other)
Parameter
NameDescription
otherMessage
Returns
TypeDescription
FractionSplit.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final FractionSplit.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
FractionSplit.Builder
Overrides

setField(Descriptors.FieldDescriptor field, Object value)

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

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

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

setTestFraction(double value)

public FractionSplit.Builder setTestFraction(double value)

The fraction of the input data that is to be used to evaluate the Model.

double test_fraction = 3;

Parameter
NameDescription
valuedouble

The testFraction to set.

Returns
TypeDescription
FractionSplit.Builder

This builder for chaining.

setTrainingFraction(double value)

public FractionSplit.Builder setTrainingFraction(double value)

The fraction of the input data that is to be used to train the Model.

double training_fraction = 1;

Parameter
NameDescription
valuedouble

The trainingFraction to set.

Returns
TypeDescription
FractionSplit.Builder

This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final FractionSplit.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
FractionSplit.Builder
Overrides

setValidationFraction(double value)

public FractionSplit.Builder setValidationFraction(double value)

The fraction of the input data that is to be used to validate the Model.

double validation_fraction = 2;

Parameter
NameDescription
valuedouble

The validationFraction to set.

Returns
TypeDescription
FractionSplit.Builder

This builder for chaining.