Class TextSentimentEvaluationMetrics.Builder (2.42.0)

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)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

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