Class TextSentimentEvaluationMetrics.Builder (2.46.0)

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

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

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

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

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

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

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

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

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

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
Exceptions
Type Description
IOException

mergeFrom(Message other)

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

mergeUnknownFields(UnknownFieldSet unknownFields)

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

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

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

setUnknownFields(UnknownFieldSet unknownFields)

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