Class TextSentimentEvaluationMetrics.Builder (2.20.0)

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public static final class TextSentimentEvaluationMetrics.Builder extends GeneratedMessageV3.Builder<TextSentimentEvaluationMetrics.Builder> implements TextSentimentEvaluationMetricsOrBuilder

Model evaluation metrics for text sentiment problems.

Protobuf type google.cloud.automl.v1.TextSentimentEvaluationMetrics

Inheritance

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

Implements

TextSentimentEvaluationMetricsOrBuilder

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)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(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

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public TextSentimentEvaluationMetrics.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

build()

public TextSentimentEvaluationMetrics build()

Returns
Type	Description
TextSentimentEvaluationMetrics

buildPartial()

public TextSentimentEvaluationMetrics buildPartial()

Returns
Type	Description
TextSentimentEvaluationMetrics

clear()

public TextSentimentEvaluationMetrics.Builder clear()

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearConfusionMatrix()

public TextSentimentEvaluationMetrics.Builder clearConfusionMatrix()

Output only. Confusion matrix of the evaluation. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder

clearF1Score()

public TextSentimentEvaluationMetrics.Builder clearF1Score()

Output only. The harmonic mean of recall and precision.

float f1_score = 3;

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder	This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public TextSentimentEvaluationMetrics.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

clearLinearKappa()

public TextSentimentEvaluationMetrics.Builder clearLinearKappa()

Output only. Linear weighted kappa. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

float linear_kappa = 6;

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder	This builder for chaining.

clearMeanAbsoluteError()

public TextSentimentEvaluationMetrics.Builder clearMeanAbsoluteError()

Output only. Mean absolute error. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

float mean_absolute_error = 4;

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder	This builder for chaining.

clearMeanSquaredError()

public TextSentimentEvaluationMetrics.Builder clearMeanSquaredError()

Output only. Mean squared error. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

float mean_squared_error = 5;

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder	This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public TextSentimentEvaluationMetrics.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

clearPrecision()

public TextSentimentEvaluationMetrics.Builder clearPrecision()

Output only. Precision.

float precision = 1;

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder	This builder for chaining.

clearQuadraticKappa()

public TextSentimentEvaluationMetrics.Builder clearQuadraticKappa()

Output only. Quadratic weighted kappa. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

float quadratic_kappa = 7;

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder	This builder for chaining.

clearRecall()

public TextSentimentEvaluationMetrics.Builder clearRecall()

Output only. Recall.

float recall = 2;

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder	This builder for chaining.

clone()

public TextSentimentEvaluationMetrics.Builder clone()

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getConfusionMatrix()

public ClassificationEvaluationMetrics.ConfusionMatrix getConfusionMatrix()

Output only. Confusion matrix of the evaluation. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;

Returns
Type	Description
ClassificationEvaluationMetrics.ConfusionMatrix	The confusionMatrix.

getConfusionMatrixBuilder()

public ClassificationEvaluationMetrics.ConfusionMatrix.Builder getConfusionMatrixBuilder()

Output only. Confusion matrix of the evaluation. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;

Returns
Type	Description
ClassificationEvaluationMetrics.ConfusionMatrix.Builder

getConfusionMatrixOrBuilder()

public ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder getConfusionMatrixOrBuilder()

Output only. Confusion matrix of the evaluation. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;

Returns
Type	Description
ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder

getDefaultInstanceForType()

public TextSentimentEvaluationMetrics getDefaultInstanceForType()

Returns
Type	Description
TextSentimentEvaluationMetrics

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getF1Score()

public float getF1Score()

Output only. The harmonic mean of recall and precision.

float f1_score = 3;

Returns
Type	Description
float	The f1Score.

getLinearKappa()

public float getLinearKappa()

Output only. Linear weighted kappa. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

float linear_kappa = 6;

Returns
Type	Description
float	The linearKappa.

getMeanAbsoluteError()

public float getMeanAbsoluteError()

Output only. Mean absolute error. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

float mean_absolute_error = 4;

Returns
Type	Description
float	The meanAbsoluteError.

getMeanSquaredError()

public float getMeanSquaredError()

Output only. Mean squared error. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

float mean_squared_error = 5;

Returns
Type	Description
float	The meanSquaredError.

getPrecision()

public float getPrecision()

Output only. Precision.

float precision = 1;

Returns
Type	Description
float	The precision.

getQuadraticKappa()

public float getQuadraticKappa()

Output only. Quadratic weighted kappa. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

float quadratic_kappa = 7;

Returns
Type	Description
float	The quadraticKappa.

getRecall()

public float getRecall()

Output only. Recall.

float recall = 2;

Returns
Type	Description
float	The recall.

hasConfusionMatrix()

public boolean hasConfusionMatrix()

Output only. Confusion matrix of the evaluation. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;

Returns
Type	Description
boolean	Whether the confusionMatrix field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeConfusionMatrix(ClassificationEvaluationMetrics.ConfusionMatrix value)

public TextSentimentEvaluationMetrics.Builder mergeConfusionMatrix(ClassificationEvaluationMetrics.ConfusionMatrix value)

Output only. Confusion matrix of the evaluation. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;

Parameter
Name	Description
value	ClassificationEvaluationMetrics.ConfusionMatrix

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder

mergeFrom(TextSentimentEvaluationMetrics other)

public TextSentimentEvaluationMetrics.Builder mergeFrom(TextSentimentEvaluationMetrics other)

Parameter
Name	Description
other	TextSentimentEvaluationMetrics

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder

Overrides

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

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public TextSentimentEvaluationMetrics.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder

Overrides

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

mergeUnknownFields(UnknownFieldSet unknownFields)

public final TextSentimentEvaluationMetrics.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

setConfusionMatrix(ClassificationEvaluationMetrics.ConfusionMatrix value)

public TextSentimentEvaluationMetrics.Builder setConfusionMatrix(ClassificationEvaluationMetrics.ConfusionMatrix value)

Output only. Confusion matrix of the evaluation. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;

Parameter
Name	Description
value	ClassificationEvaluationMetrics.ConfusionMatrix

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder

setConfusionMatrix(ClassificationEvaluationMetrics.ConfusionMatrix.Builder builderForValue)

public TextSentimentEvaluationMetrics.Builder setConfusionMatrix(ClassificationEvaluationMetrics.ConfusionMatrix.Builder builderForValue)

Output only. Confusion matrix of the evaluation. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;

Parameter
Name	Description
builderForValue	ClassificationEvaluationMetrics.ConfusionMatrix.Builder

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder

setF1Score(float value)

public TextSentimentEvaluationMetrics.Builder setF1Score(float value)

Output only. The harmonic mean of recall and precision.

float f1_score = 3;

Parameter
Name	Description
value	float The f1Score to set.

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder	This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public TextSentimentEvaluationMetrics.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

setLinearKappa(float value)

public TextSentimentEvaluationMetrics.Builder setLinearKappa(float value)

Output only. Linear weighted kappa. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

float linear_kappa = 6;

Parameter
Name	Description
value	float The linearKappa to set.

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder	This builder for chaining.

setMeanAbsoluteError(float value)

public TextSentimentEvaluationMetrics.Builder setMeanAbsoluteError(float value)

Output only. Mean absolute error. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

float mean_absolute_error = 4;

Parameter
Name	Description
value	float The meanAbsoluteError to set.

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder	This builder for chaining.

setMeanSquaredError(float value)

public TextSentimentEvaluationMetrics.Builder setMeanSquaredError(float value)

Output only. Mean squared error. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

float mean_squared_error = 5;

Parameter
Name	Description
value	float The meanSquaredError to set.

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder	This builder for chaining.

setPrecision(float value)

public TextSentimentEvaluationMetrics.Builder setPrecision(float value)

Output only. Precision.

float precision = 1;

Parameter
Name	Description
value	float The precision to set.

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder	This builder for chaining.

setQuadraticKappa(float value)

public TextSentimentEvaluationMetrics.Builder setQuadraticKappa(float value)

Output only. Quadratic weighted kappa. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

float quadratic_kappa = 7;

Parameter
Name	Description
value	float The quadraticKappa to set.

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder	This builder for chaining.

setRecall(float value)

public TextSentimentEvaluationMetrics.Builder setRecall(float value)

Output only. Recall.

float recall = 2;

Parameter
Name	Description
value	float The recall to set.

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder	This builder for chaining.

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

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

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

setUnknownFields(UnknownFieldSet unknownFields)

public final TextSentimentEvaluationMetrics.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
TextSentimentEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)