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.v1beta1.FractionSplit
Methods
public FractionSplit.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Returns
Overrides
public FractionSplit build()
Returns
public FractionSplit buildPartial()
Returns
public FractionSplit.Builder clear()
Returns
Overrides
public FractionSplit.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Returns
Overrides
public FractionSplit.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Returns
Overrides
public FractionSplit.Builder clearTestFraction()
The fraction of the input data that is to be used to evaluate the Model.
double test_fraction = 3;
public FractionSplit.Builder clearTrainingFraction()
The fraction of the input data that is to be used to train the Model.
double training_fraction = 1;
public FractionSplit.Builder clearValidationFraction()
The fraction of the input data that is to be used to validate the Model.
double validation_fraction = 2;
public FractionSplit.Builder clone()
Returns
Overrides
public FractionSplit getDefaultInstanceForType()
Returns
public static final Descriptors.Descriptor getDescriptor()
Returns
public Descriptors.Descriptor getDescriptorForType()
Returns
Overrides
public double getTestFraction()
The fraction of the input data that is to be used to evaluate the Model.
double test_fraction = 3;
| Type | Description |
| double | The testFraction.
|
public double getTrainingFraction()
The fraction of the input data that is to be used to train the Model.
double training_fraction = 1;
| Type | Description |
| double | The trainingFraction.
|
public double getValidationFraction()
The fraction of the input data that is to be used to validate the Model.
double validation_fraction = 2;
| Type | Description |
| double | The validationFraction.
|
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Overrides
public final boolean isInitialized()
Returns
Overrides
public FractionSplit.Builder mergeFrom(FractionSplit other)
Parameter
Returns
public FractionSplit.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Overrides
Exceptions
public FractionSplit.Builder mergeFrom(Message other)
Parameter
Returns
Overrides
public final FractionSplit.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Returns
Overrides
public FractionSplit.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Returns
Overrides
public FractionSplit.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Returns
Overrides
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;
| Name | Description |
| value | double
The testFraction to set.
|
Returns
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;
| Name | Description |
| value | double
The trainingFraction to set.
|
Returns
public final FractionSplit.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Returns
Overrides
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;
| Name | Description |
| value | double
The validationFraction to set.
|
Returns
