Class TextSentimentProto.TextSentimentEvaluationMetrics.Builder

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

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
TypeDescription
Descriptor

Methods

addAllAnnotationSpecId(Iterable<String> values)

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

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

repeated string annotation_spec_id = 9 [deprecated = true];

Parameter
NameDescription
valuesIterable<String>

The annotationSpecId to add.

Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

This builder for chaining.

addAnnotationSpecId(String value)

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder addAnnotationSpecId(String value)

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

repeated string annotation_spec_id = 9 [deprecated = true];

Parameter
NameDescription
valueString

The annotationSpecId to add.

Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

This builder for chaining.

addAnnotationSpecIdBytes(ByteString value)

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder addAnnotationSpecIdBytes(ByteString value)

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

repeated string annotation_spec_id = 9 [deprecated = true];

Parameter
NameDescription
valueByteString

The bytes of the annotationSpecId to add.

Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

This builder for chaining.

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder
Overrides

build()

public TextSentimentProto.TextSentimentEvaluationMetrics build()
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics

buildPartial()

public TextSentimentProto.TextSentimentEvaluationMetrics buildPartial()
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics

clear()

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder clear()
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder
Overrides

clearAnnotationSpecId()

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder clearAnnotationSpecId()

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

repeated string annotation_spec_id = 9 [deprecated = true];

Returns
TypeDescription
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
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

clearF1Score()

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder clearF1Score()

Output only. The harmonic mean of recall and precision.

float f1_score = 3;

Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
NameDescription
fieldFieldDescriptor
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder
Overrides

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
TypeDescription
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
TypeDescription
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
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
NameDescription
oneofOneofDescriptor
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder
Overrides

clearPrecision()

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder clearPrecision()

Output only. Precision.

float precision = 1;

Returns
TypeDescription
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
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

This builder for chaining.

clearRecall()

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder clearRecall()

Output only. Recall.

float recall = 2;

Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

This builder for chaining.

clone()

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder clone()
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder
Overrides

getAnnotationSpecId(int index)

public String getAnnotationSpecId(int index)

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

repeated string annotation_spec_id = 9 [deprecated = true];

Parameter
NameDescription
indexint

The index of the element to return.

Returns
TypeDescription
String

The annotationSpecId at the given index.

getAnnotationSpecIdBytes(int index)

public ByteString getAnnotationSpecIdBytes(int index)

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

repeated string annotation_spec_id = 9 [deprecated = true];

Parameter
NameDescription
indexint

The index of the value to return.

Returns
TypeDescription
ByteString

The bytes of the annotationSpecId at the given index.

getAnnotationSpecIdCount()

public int getAnnotationSpecIdCount()

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

repeated string annotation_spec_id = 9 [deprecated = true];

Returns
TypeDescription
int

The count of annotationSpecId.

getAnnotationSpecIdList()

public ProtocolStringList getAnnotationSpecIdList()

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

repeated string annotation_spec_id = 9 [deprecated = true];

Returns
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder

getDefaultInstanceForType()

public TextSentimentProto.TextSentimentEvaluationMetrics getDefaultInstanceForType()
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
TypeDescription
Descriptor
Overrides

getF1Score()

public float getF1Score()

Output only. The harmonic mean of recall and precision.

float f1_score = 3;

Returns
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
float

The meanSquaredError.

getPrecision()

public float getPrecision()

Output only. Precision.

float precision = 1;

Returns
TypeDescription
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
TypeDescription
float

The quadraticKappa.

getRecall()

public float getRecall()

Output only. Recall.

float recall = 2;

Returns
TypeDescription
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
TypeDescription
boolean

Whether the confusionMatrix field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

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
NameDescription
valueClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

mergeFrom(TextSentimentProto.TextSentimentEvaluationMetrics other)

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder mergeFrom(TextSentimentProto.TextSentimentEvaluationMetrics other)
Parameter
NameDescription
otherTextSentimentProto.TextSentimentEvaluationMetrics
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder
Overrides Exceptions
TypeDescription
IOException

mergeFrom(Message other)

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder mergeFrom(Message other)
Parameter
NameDescription
otherMessage
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final TextSentimentProto.TextSentimentEvaluationMetrics.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder
Overrides

setAnnotationSpecId(int index, String value)

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

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

repeated string annotation_spec_id = 9 [deprecated = true];

Parameters
NameDescription
indexint

The index to set the value at.

valueString

The annotationSpecId to set.

Returns
TypeDescription
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
NameDescription
valueClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix
Returns
TypeDescription
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
NameDescription
builderForValueClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder
Returns
TypeDescription
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
NameDescription
valuefloat

The f1Score to set.

Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder
Overrides

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
NameDescription
valuefloat

The linearKappa to set.

Returns
TypeDescription
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
NameDescription
valuefloat

The meanAbsoluteError to set.

Returns
TypeDescription
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
NameDescription
valuefloat

The meanSquaredError to set.

Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

This builder for chaining.

setPrecision(float value)

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder setPrecision(float value)

Output only. Precision.

float precision = 1;

Parameter
NameDescription
valuefloat

The precision to set.

Returns
TypeDescription
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
NameDescription
valuefloat

The quadraticKappa to set.

Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

This builder for chaining.

setRecall(float value)

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder setRecall(float value)

Output only. Recall.

float recall = 2;

Parameter
NameDescription
valuefloat

The recall to set.

Returns
TypeDescription
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
NameDescription
fieldFieldDescriptor
indexint
valueObject
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder
Overrides

setUnknownFields(UnknownFieldSet unknownFields)

public final TextSentimentProto.TextSentimentEvaluationMetrics.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder
Overrides