Class TextSentimentEvaluationMetrics.Builder

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
TypeDescription
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

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

build()

public TextSentimentEvaluationMetrics build()
Returns
TypeDescription
TextSentimentEvaluationMetrics

buildPartial()

public TextSentimentEvaluationMetrics buildPartial()
Returns
TypeDescription
TextSentimentEvaluationMetrics

clear()

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

clearF1Score()

public TextSentimentEvaluationMetrics.Builder clearF1Score()

Output only. The harmonic mean of recall and precision.

float f1_score = 3;

Returns
TypeDescription
TextSentimentEvaluationMetrics.Builder

This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

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

This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

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

clearPrecision()

public TextSentimentEvaluationMetrics.Builder clearPrecision()

Output only. Precision.

float precision = 1;

Returns
TypeDescription
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
TypeDescription
TextSentimentEvaluationMetrics.Builder

This builder for chaining.

clearRecall()

public TextSentimentEvaluationMetrics.Builder clearRecall()

Output only. Recall.

float recall = 2;

Returns
TypeDescription
TextSentimentEvaluationMetrics.Builder

This builder for chaining.

clone()

public TextSentimentEvaluationMetrics.Builder clone()
Returns
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder

getDefaultInstanceForType()

public TextSentimentEvaluationMetrics getDefaultInstanceForType()
Returns
TypeDescription
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.v1.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(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
NameDescription
valueClassificationEvaluationMetrics.ConfusionMatrix
Returns
TypeDescription
TextSentimentEvaluationMetrics.Builder

mergeFrom(TextSentimentEvaluationMetrics other)

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

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

mergeFrom(Message other)

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

mergeUnknownFields(UnknownFieldSet unknownFields)

public final TextSentimentEvaluationMetrics.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
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
NameDescription
valueClassificationEvaluationMetrics.ConfusionMatrix
Returns
TypeDescription
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
NameDescription
builderForValueClassificationEvaluationMetrics.ConfusionMatrix.Builder
Returns
TypeDescription
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
NameDescription
valuefloat

The f1Score to set.

Returns
TypeDescription
TextSentimentEvaluationMetrics.Builder

This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

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

The linearKappa to set.

Returns
TypeDescription
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
NameDescription
valuefloat

The meanAbsoluteError to set.

Returns
TypeDescription
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
NameDescription
valuefloat

The meanSquaredError to set.

Returns
TypeDescription
TextSentimentEvaluationMetrics.Builder

This builder for chaining.

setPrecision(float value)

public TextSentimentEvaluationMetrics.Builder setPrecision(float value)

Output only. Precision.

float precision = 1;

Parameter
NameDescription
valuefloat

The precision to set.

Returns
TypeDescription
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
NameDescription
valuefloat

The quadraticKappa to set.

Returns
TypeDescription
TextSentimentEvaluationMetrics.Builder

This builder for chaining.

setRecall(float value)

public TextSentimentEvaluationMetrics.Builder setRecall(float value)

Output only. Recall.

float recall = 2;

Parameter
NameDescription
valuefloat

The recall to set.

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

setUnknownFields(UnknownFieldSet unknownFields)

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