Class ExportFractionSplit.Builder (3.45.0)

public static final class ExportFractionSplit.Builder extends GeneratedMessageV3.Builder<ExportFractionSplit.Builder> implements ExportFractionSplitOrBuilder

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.ExportFractionSplit

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public ExportFractionSplit.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
ExportFractionSplit.Builder
Overrides

build()

public ExportFractionSplit build()
Returns
Type Description
ExportFractionSplit

buildPartial()

public ExportFractionSplit buildPartial()
Returns
Type Description
ExportFractionSplit

clear()

public ExportFractionSplit.Builder clear()
Returns
Type Description
ExportFractionSplit.Builder
Overrides

clearField(Descriptors.FieldDescriptor field)

public ExportFractionSplit.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Name Description
field FieldDescriptor
Returns
Type Description
ExportFractionSplit.Builder
Overrides

clearOneof(Descriptors.OneofDescriptor oneof)

public ExportFractionSplit.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Name Description
oneof OneofDescriptor
Returns
Type Description
ExportFractionSplit.Builder
Overrides

clearTestFraction()

public ExportFractionSplit.Builder clearTestFraction()

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

double test_fraction = 3;

Returns
Type Description
ExportFractionSplit.Builder

This builder for chaining.

clearTrainingFraction()

public ExportFractionSplit.Builder clearTrainingFraction()

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

double training_fraction = 1;

Returns
Type Description
ExportFractionSplit.Builder

This builder for chaining.

clearValidationFraction()

public ExportFractionSplit.Builder clearValidationFraction()

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

double validation_fraction = 2;

Returns
Type Description
ExportFractionSplit.Builder

This builder for chaining.

clone()

public ExportFractionSplit.Builder clone()
Returns
Type Description
ExportFractionSplit.Builder
Overrides

getDefaultInstanceForType()

public ExportFractionSplit getDefaultInstanceForType()
Returns
Type Description
ExportFractionSplit

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
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
Type Description
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
Type Description
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
Type Description
double

The validationFraction.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeFrom(ExportFractionSplit other)

public ExportFractionSplit.Builder mergeFrom(ExportFractionSplit other)
Parameter
Name Description
other ExportFractionSplit
Returns
Type Description
ExportFractionSplit.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public ExportFractionSplit.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ExportFractionSplit.Builder
Overrides
Exceptions
Type Description
IOException

mergeFrom(Message other)

public ExportFractionSplit.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
ExportFractionSplit.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ExportFractionSplit.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
ExportFractionSplit.Builder
Overrides

setField(Descriptors.FieldDescriptor field, Object value)

public ExportFractionSplit.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
ExportFractionSplit.Builder
Overrides

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

public ExportFractionSplit.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Name Description
field FieldDescriptor
index int
value Object
Returns
Type Description
ExportFractionSplit.Builder
Overrides

setTestFraction(double value)

public ExportFractionSplit.Builder setTestFraction(double value)

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

double test_fraction = 3;

Parameter
Name Description
value double

The testFraction to set.

Returns
Type Description
ExportFractionSplit.Builder

This builder for chaining.

setTrainingFraction(double value)

public ExportFractionSplit.Builder setTrainingFraction(double value)

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

double training_fraction = 1;

Parameter
Name Description
value double

The trainingFraction to set.

Returns
Type Description
ExportFractionSplit.Builder

This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final ExportFractionSplit.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
ExportFractionSplit.Builder
Overrides

setValidationFraction(double value)

public ExportFractionSplit.Builder setValidationFraction(double value)

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

double validation_fraction = 2;

Parameter
Name Description
value double

The validationFraction to set.

Returns
Type Description
ExportFractionSplit.Builder

This builder for chaining.