Class TextSentimentProto.TextSentimentEvaluationMetrics.Builder (2.3.3)

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

Model evaluation metrics for text sentiment problems.

Protobuf type google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics

Inheritance

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

Implements

TextSentimentProto.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)

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)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

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

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

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

addAllAnnotationSpecId(Iterable<String> values) (deprecated)

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder addAllAnnotationSpecId(Iterable<String> values)

Deprecated. google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id is deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=78

Output only. The annotation spec ids used for this evaluation. Deprecated .

repeated string annotation_spec_id = 9 [deprecated = true];

Parameter

Name	Description
values	Iterable<String> The annotationSpecId to add.

Returns

Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder	This builder for chaining.

addAnnotationSpecId(String value) (deprecated)

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder addAnnotationSpecId(String value)

Deprecated. google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id is deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=78

Output only. The annotation spec ids used for this evaluation. Deprecated .

repeated string annotation_spec_id = 9 [deprecated = true];

Parameter

Name	Description
value	String The annotationSpecId to add.

Returns

Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder	This builder for chaining.

addAnnotationSpecIdBytes(ByteString value) (deprecated)

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder addAnnotationSpecIdBytes(ByteString value)

Deprecated. google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id is deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=78

Output only. The annotation spec ids used for this evaluation. Deprecated .

repeated string annotation_spec_id = 9 [deprecated = true];

Parameter

Name	Description
value	ByteString The bytes of the annotationSpecId to add.

Returns

Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder	This builder for chaining.

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

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

Parameters

Name	Description
field	FieldDescriptor
value	Object

Returns

Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

Overrides

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

build()

public TextSentimentProto.TextSentimentEvaluationMetrics build()

Returns

Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics

buildPartial()

public TextSentimentProto.TextSentimentEvaluationMetrics buildPartial()

Returns

Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics

clear()

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder clear()

Returns

Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearAnnotationSpecId() (deprecated)

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder clearAnnotationSpecId()

Deprecated. google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id is deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=78

Output only. The annotation spec ids used for this evaluation. Deprecated .

repeated string annotation_spec_id = 9 [deprecated = true];

Returns

Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder	This builder for chaining.

clearConfusionMatrix()

public TextSentimentProto.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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;

Returns

Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

clearF1Score()

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder clearF1Score()

Output only. The harmonic mean of recall and precision.

float f1_score = 3;

Returns

Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder	This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder clearField(Descriptors.FieldDescriptor field)

Parameter

Name	Description
field	FieldDescriptor

Returns

Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

Overrides

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

clearLinearKappa()

public TextSentimentProto.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
TextSentimentProto.TextSentimentEvaluationMetrics.Builder	This builder for chaining.

clearMeanAbsoluteError()

public TextSentimentProto.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
TextSentimentProto.TextSentimentEvaluationMetrics.Builder	This builder for chaining.

clearMeanSquaredError()

public TextSentimentProto.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
TextSentimentProto.TextSentimentEvaluationMetrics.Builder	This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter

Name	Description
oneof	OneofDescriptor

Returns

Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

Overrides

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

clearPrecision()

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder clearPrecision()

Output only. Precision.

float precision = 1;

Returns

Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder	This builder for chaining.

clearQuadraticKappa()

public TextSentimentProto.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
TextSentimentProto.TextSentimentEvaluationMetrics.Builder	This builder for chaining.

clearRecall()

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder clearRecall()

Output only. Recall.

float recall = 2;

Returns

Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder	This builder for chaining.

clone()

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder clone()

Returns

Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getAnnotationSpecId(int index) (deprecated)

public String getAnnotationSpecId(int index)

Deprecated. google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id is deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=78

Output only. The annotation spec ids used for this evaluation. Deprecated .

repeated string annotation_spec_id = 9 [deprecated = true];

Parameter

Name	Description
index	int The index of the element to return.

Returns

Type	Description
String	The annotationSpecId at the given index.

getAnnotationSpecIdBytes(int index) (deprecated)

public ByteString getAnnotationSpecIdBytes(int index)

Deprecated. google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id is deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=78

Output only. The annotation spec ids used for this evaluation. Deprecated .

repeated string annotation_spec_id = 9 [deprecated = true];

Parameter

Name	Description
index	int The index of the value to return.

Returns

Type	Description
ByteString	The bytes of the annotationSpecId at the given index.

getAnnotationSpecIdCount() (deprecated)

public int getAnnotationSpecIdCount()

Deprecated. google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id is deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=78

Output only. The annotation spec ids used for this evaluation. Deprecated .

repeated string annotation_spec_id = 9 [deprecated = true];

Returns

Type	Description
int	The count of annotationSpecId.

getAnnotationSpecIdList() (deprecated)

public ProtocolStringList getAnnotationSpecIdList()

Deprecated. google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id is deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=78

Output only. The annotation spec ids used for this evaluation. Deprecated .

repeated string annotation_spec_id = 9 [deprecated = true];

Returns

Type	Description
ProtocolStringList	A list containing the annotationSpecId.

getConfusionMatrix()

public ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;

Returns

Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix	The confusionMatrix.

getConfusionMatrixBuilder()

public ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;

Returns

Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder

getConfusionMatrixOrBuilder()

public ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;

Returns

Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder

getDefaultInstanceForType()

public TextSentimentProto.TextSentimentEvaluationMetrics getDefaultInstanceForType()

Returns

Type	Description
TextSentimentProto.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.v1beta1.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(ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix value)

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder mergeConfusionMatrix(ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;

Parameter

Name	Description
value	ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix

Returns

Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

mergeFrom(TextSentimentProto.TextSentimentEvaluationMetrics other)

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder mergeFrom(TextSentimentProto.TextSentimentEvaluationMetrics other)

Parameter

Name	Description
other	TextSentimentProto.TextSentimentEvaluationMetrics

Returns

Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

Parameters

Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

Overrides

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

Exceptions

Type	Description
IOException

mergeFrom(Message other)

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder mergeFrom(Message other)

Parameter

Name	Description
other	Message

Returns

Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

Overrides

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

mergeUnknownFields(UnknownFieldSet unknownFields)

public final TextSentimentProto.TextSentimentEvaluationMetrics.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter

Name	Description
unknownFields	UnknownFieldSet

Returns

Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

Overrides

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

setAnnotationSpecId(int index, String value) (deprecated)

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder setAnnotationSpecId(int index, String value)

Deprecated. google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id is deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=78

Output only. The annotation spec ids used for this evaluation. Deprecated .

repeated string annotation_spec_id = 9 [deprecated = true];

Parameters

Name	Description
index	int The index to set the value at.
value	String The annotationSpecId to set.

Returns

Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder	This builder for chaining.

setConfusionMatrix(ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix value)

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder setConfusionMatrix(ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;

Parameter

Name	Description
value	ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix

Returns

Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

setConfusionMatrix(ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder builderForValue)

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder setConfusionMatrix(ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;

Parameter

Name	Description
builderForValue	ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder

Returns

Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

setF1Score(float value)

public TextSentimentProto.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
TextSentimentProto.TextSentimentEvaluationMetrics.Builder	This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

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

Parameters

Name	Description
field	FieldDescriptor
value	Object

Returns

Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

Overrides

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

setLinearKappa(float value)

public TextSentimentProto.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
TextSentimentProto.TextSentimentEvaluationMetrics.Builder	This builder for chaining.

setMeanAbsoluteError(float value)

public TextSentimentProto.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
TextSentimentProto.TextSentimentEvaluationMetrics.Builder	This builder for chaining.

setMeanSquaredError(float value)

public TextSentimentProto.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
TextSentimentProto.TextSentimentEvaluationMetrics.Builder	This builder for chaining.

setPrecision(float value)

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder setPrecision(float value)

Output only. Precision.

float precision = 1;

Parameter

Name	Description
value	float The precision to set.

Returns

Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder	This builder for chaining.

setQuadraticKappa(float value)

public TextSentimentProto.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
TextSentimentProto.TextSentimentEvaluationMetrics.Builder	This builder for chaining.

setRecall(float value)

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder setRecall(float value)

Output only. Recall.

float recall = 2;

Parameter

Name	Description
value	float The recall to set.

Returns

Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder	This builder for chaining.

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

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

Parameters

Name	Description
field	FieldDescriptor
index	int
value	Object

Returns

Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

Overrides

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

setUnknownFields(UnknownFieldSet unknownFields)

public final TextSentimentProto.TextSentimentEvaluationMetrics.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter

Name	Description
unknownFields	UnknownFieldSet

Returns

Type	Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

Overrides

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