Class StratifiedSplit.Builder (3.84.0)

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public static final class StratifiedSplit.Builder extends GeneratedMessage.Builder<StratifiedSplit.Builder> implements StratifiedSplitOrBuilder

Assigns input data to the training, validation, and test sets so that the distribution of values found in the categorical column (as specified by the key field) is mirrored within each split. The fraction values determine the relative sizes of the splits.

For example, if the specified column has three values, with 50% of the rows having value "A", 25% value "B", and 25% value "C", and the split fractions are specified as 80/10/10, then the training set will constitute 80% of the training data, with about 50% of the training set rows having the value "A" for the specified column, about 25% having the value "B", and about 25% having the value "C".

Only the top 500 occurring values are used; any values not in the top 500 values are randomly assigned to a split. If less than three rows contain a specific value, those rows are randomly assigned.

Supported only for tabular Datasets.

Protobuf type google.cloud.aiplatform.v1.StratifiedSplit

Inheritance

java.lang.Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessage.Builder > StratifiedSplit.Builder

Implements

StratifiedSplitOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessage.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessage.Builder.clear()

GeneratedMessage.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.clone()

GeneratedMessage.Builder.getAllFields()

GeneratedMessage.Builder.getDescriptorForType()

GeneratedMessage.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.getParentForChildren()

GeneratedMessage.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessage.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessage.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessage.Builder.getUnknownFieldSetBuilder()

GeneratedMessage.Builder.getUnknownFields()

GeneratedMessage.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.internalGetFieldAccessorTable()

GeneratedMessage.Builder.internalGetMapField(int)

com.google.protobuf.GeneratedMessage.Builder.internalGetMapFieldReflection(int)

GeneratedMessage.Builder.internalGetMutableMapField(int)

com.google.protobuf.GeneratedMessage.Builder.internalGetMutableMapFieldReflection(int)

GeneratedMessage.Builder.isClean()

GeneratedMessage.Builder.isInitialized()

GeneratedMessage.Builder.markClean()

GeneratedMessage.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessage.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessage.Builder.mergeUnknownVarintField(int,int)

GeneratedMessage.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.onBuilt()

GeneratedMessage.Builder.onChanged()

com.google.protobuf.GeneratedMessage.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessage.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessage.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessage.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessage.Builder.setUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessage.Builder.setUnknownFieldsProto3(com.google.protobuf.UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
Descriptor

Methods

build()

public StratifiedSplit build()

Returns
Type	Description
StratifiedSplit

buildPartial()

public StratifiedSplit buildPartial()

Returns
Type	Description
StratifiedSplit

clear()

public StratifiedSplit.Builder clear()

Returns
Type	Description
StratifiedSplit.Builder

Overrides

GeneratedMessage.Builder<BuilderType>.clear()

clearKey()

public StratifiedSplit.Builder clearKey()

Required. The key is a name of one of the Dataset's data columns. The key provided must be for a categorical column.

string key = 4 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
StratifiedSplit.Builder	This builder for chaining.

clearTestFraction()

public StratifiedSplit.Builder clearTestFraction()

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

double test_fraction = 3;

Returns
Type	Description
StratifiedSplit.Builder	This builder for chaining.

clearTrainingFraction()

public StratifiedSplit.Builder clearTrainingFraction()

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

double training_fraction = 1;

Returns
Type	Description
StratifiedSplit.Builder	This builder for chaining.

clearValidationFraction()

public StratifiedSplit.Builder clearValidationFraction()

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

double validation_fraction = 2;

Returns
Type	Description
StratifiedSplit.Builder	This builder for chaining.

getDefaultInstanceForType()

public StratifiedSplit getDefaultInstanceForType()

Returns
Type	Description
StratifiedSplit

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessage.Builder<BuilderType>.getDescriptorForType()

getKey()

public String getKey()

Required. The key is a name of one of the Dataset's data columns. The key provided must be for a categorical column.

string key = 4 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
String	The key.

getKeyBytes()

public ByteString getKeyBytes()

Required. The key is a name of one of the Dataset's data columns. The key provided must be for a categorical column.

string key = 4 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
ByteString	The bytes for key.

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 GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessage.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessage.Builder<BuilderType>.isInitialized()

mergeFrom(StratifiedSplit other)

public StratifiedSplit.Builder mergeFrom(StratifiedSplit other)

Parameter
Name	Description
other	StratifiedSplit

Returns
Type	Description
StratifiedSplit.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public StratifiedSplit.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
StratifiedSplit.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public StratifiedSplit.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
StratifiedSplit.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

setKey(String value)

public StratifiedSplit.Builder setKey(String value)

Required. The key is a name of one of the Dataset's data columns. The key provided must be for a categorical column.

string key = 4 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
value	String The key to set.

Returns
Type	Description
StratifiedSplit.Builder	This builder for chaining.

setKeyBytes(ByteString value)

public StratifiedSplit.Builder setKeyBytes(ByteString value)

Required. The key is a name of one of the Dataset's data columns. The key provided must be for a categorical column.

string key = 4 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
value	ByteString The bytes for key to set.

Returns
Type	Description
StratifiedSplit.Builder	This builder for chaining.

setTestFraction(double value)

public StratifiedSplit.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
StratifiedSplit.Builder	This builder for chaining.

setTrainingFraction(double value)

public StratifiedSplit.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
StratifiedSplit.Builder	This builder for chaining.

setValidationFraction(double value)

public StratifiedSplit.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
StratifiedSplit.Builder	This builder for chaining.