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Class FractionSplit.Builder (3.3.0)
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Version 3.3.0 keyboard_arrow_down
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
Static Methods
public static final Descriptors . Descriptor getDescriptor ()
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Methods
public FractionSplit . Builder addRepeatedField ( Descriptors . FieldDescriptor field , Object value )
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public FractionSplit build ()
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public FractionSplit buildPartial ()
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public FractionSplit . Builder clear ()
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public FractionSplit . Builder clearField ( Descriptors . FieldDescriptor field )
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public FractionSplit . Builder clearOneof ( Descriptors . OneofDescriptor oneof )
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public FractionSplit . Builder clearTestFraction ()
The fraction of the input data that is to be used to evaluate the Model.
double test_fraction = 3;
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public FractionSplit . Builder clearTrainingFraction ()
The fraction of the input data that is to be used to train the Model.
double training_fraction = 1;
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public FractionSplit . Builder clearValidationFraction ()
The fraction of the input data that is to be used to validate the Model.
double validation_fraction = 2;
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public FractionSplit . Builder clone ()
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public FractionSplit getDefaultInstanceForType ()
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public Descriptors . Descriptor getDescriptorForType ()
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public double getTestFraction ()
The fraction of the input data that is to be used to evaluate the Model.
double test_fraction = 3;
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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;
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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;
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Type Description double The validationFraction.
protected GeneratedMessageV3 . FieldAccessorTable internalGetFieldAccessorTable ()
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public final boolean isInitialized ()
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public FractionSplit . Builder mergeFrom ( FractionSplit other )
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public FractionSplit . Builder mergeFrom ( CodedInputStream input , ExtensionRegistryLite extensionRegistry )
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Exceptions
public FractionSplit . Builder mergeFrom ( Message other )
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public final FractionSplit . Builder mergeUnknownFields ( UnknownFieldSet unknownFields )
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public FractionSplit . Builder setField ( Descriptors . FieldDescriptor field , Object value )
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public FractionSplit . Builder setRepeatedField ( Descriptors . FieldDescriptor field , int index , Object value )
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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;
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Name Description value double The testFraction to set.
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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;
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Name Description value double The trainingFraction to set.
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public final FractionSplit . Builder setUnknownFields ( UnknownFieldSet unknownFields )
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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
Name Description value double The validationFraction to set.
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Last updated 2025-01-28 UTC.
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