Class TabularClassificationPredictionResult.Builder (3.0.0) 

public static final class TabularClassificationPredictionResult.Builder extends GeneratedMessageV3.Builder<TabularClassificationPredictionResult.Builder> implements TabularClassificationPredictionResultOrBuilder

Prediction output format for Tabular Classification.

Protobuf type google.cloud.aiplatform.v1.schema.predict.prediction.TabularClassificationPredictionResult

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > TabularClassificationPredictionResult.Builder

Static Methods

getDescriptor()

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

Methods

addAllClasses(Iterable<String> values)

public TabularClassificationPredictionResult.Builder addAllClasses(Iterable<String> values)

The name of the classes being classified, contains all possible values of the target column.

repeated string classes = 1;

Parameter
Name Description
values Iterable<String>

The classes to add.
Returns
Type Description
TabularClassificationPredictionResult.Builder

This builder for chaining.

addAllScores(Iterable<? extends Float> values)

public TabularClassificationPredictionResult.Builder addAllScores(Iterable<? extends Float> values)

The model's confidence in each class being correct, higher value means higher confidence. The N-th score corresponds to the N-th class in classes.

repeated float scores = 2;

Parameter
Name Description
values Iterable<? extends java.lang.Float>

The scores to add.
Returns
Type Description
TabularClassificationPredictionResult.Builder

This builder for chaining.

addClasses(String value)

public TabularClassificationPredictionResult.Builder addClasses(String value)

The name of the classes being classified, contains all possible values of the target column.

repeated string classes = 1;

Parameter
Name Description
value String

The classes to add.
Returns
Type Description
TabularClassificationPredictionResult.Builder

This builder for chaining.

addClassesBytes(ByteString value)

public TabularClassificationPredictionResult.Builder addClassesBytes(ByteString value)

The name of the classes being classified, contains all possible values of the target column.

repeated string classes = 1;

Parameter
Name Description
value ByteString

The bytes of the classes to add.
Returns
Type Description
TabularClassificationPredictionResult.Builder

This builder for chaining.

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

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

addScores(float value)

public TabularClassificationPredictionResult.Builder addScores(float value)

The model's confidence in each class being correct, higher value means higher confidence. The N-th score corresponds to the N-th class in classes.

repeated float scores = 2;

Parameter
Name Description
value float

The scores to add.
Returns
Type Description
TabularClassificationPredictionResult.Builder

This builder for chaining.

build()

public TabularClassificationPredictionResult build()
Returns
Type Description
TabularClassificationPredictionResult

buildPartial()

public TabularClassificationPredictionResult buildPartial()
Returns
Type Description
TabularClassificationPredictionResult

clear()

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

clearClasses()

public TabularClassificationPredictionResult.Builder clearClasses()

The name of the classes being classified, contains all possible values of the target column.

repeated string classes = 1;

Returns
Type Description
TabularClassificationPredictionResult.Builder

This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

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

clearOneof(Descriptors.OneofDescriptor oneof)

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

clearScores()

public TabularClassificationPredictionResult.Builder clearScores()

The model's confidence in each class being correct, higher value means higher confidence. The N-th score corresponds to the N-th class in classes.

repeated float scores = 2;

Returns
Type Description
TabularClassificationPredictionResult.Builder

This builder for chaining.

clone()

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

getClasses(int index)

public String getClasses(int index)

The name of the classes being classified, contains all possible values of the target column.

repeated string classes = 1;

Parameter
Name Description
index int

The index of the element to return.
Returns
Type Description
String

The classes at the given index.

getClassesBytes(int index)

public ByteString getClassesBytes(int index)

The name of the classes being classified, contains all possible values of the target column.

repeated string classes = 1;

Parameter
Name Description
index int

The index of the value to return.
Returns
Type Description
ByteString

The bytes of the classes at the given index.

getClassesCount()

public int getClassesCount()

The name of the classes being classified, contains all possible values of the target column.

repeated string classes = 1;

Returns
Type Description
int

The count of classes.

getClassesList()

public ProtocolStringList getClassesList()

The name of the classes being classified, contains all possible values of the target column.

repeated string classes = 1;

Returns
Type Description
ProtocolStringList

A list containing the classes.

getDefaultInstanceForType()

public TabularClassificationPredictionResult getDefaultInstanceForType()
Returns
Type Description
TabularClassificationPredictionResult

getDescriptorForType()

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

getScores(int index)

public float getScores(int index)

The model's confidence in each class being correct, higher value means higher confidence. The N-th score corresponds to the N-th class in classes.

repeated float scores = 2;

Parameter
Name Description
index int

The index of the element to return.
Returns
Type Description
float

The scores at the given index.

getScoresCount()

public int getScoresCount()

The model's confidence in each class being correct, higher value means higher confidence. The N-th score corresponds to the N-th class in classes.

repeated float scores = 2;

Returns
Type Description
int

The count of scores.

getScoresList()

public List<Float> getScoresList()

The model's confidence in each class being correct, higher value means higher confidence. The N-th score corresponds to the N-th class in classes.

repeated float scores = 2;

Returns
Type Description
List<Float>

A list containing the scores.

internalGetFieldAccessorTable()

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

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeFrom(TabularClassificationPredictionResult other)

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

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

mergeFrom(Message other)

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

mergeUnknownFields(UnknownFieldSet unknownFields)

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

setClasses(int index, String value)

public TabularClassificationPredictionResult.Builder setClasses(int index, String value)

The name of the classes being classified, contains all possible values of the target column.

repeated string classes = 1;

Parameters
Name Description
index int

The index to set the value at.
value String

The classes to set.
Returns
Type Description
TabularClassificationPredictionResult.Builder

This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

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

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

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

setScores(int index, float value)

public TabularClassificationPredictionResult.Builder setScores(int index, float value)

The model's confidence in each class being correct, higher value means higher confidence. The N-th score corresponds to the N-th class in classes.

repeated float scores = 2;

Parameters
Name Description
index int

The index to set the value at.
value float

The scores to set.
Returns
Type Description
TabularClassificationPredictionResult.Builder

This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

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