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public static final class TextSentimentEvaluationMetrics.Builder extends GeneratedMessageV3.Builder<TextSentimentEvaluationMetrics.Builder> implements TextSentimentEvaluationMetricsOrBuilderModel 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.BuilderImplements
TextSentimentEvaluationMetricsOrBuilderStatic 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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
isInitialized()
public final boolean isInitialized()| Returns | |
|---|---|
| Type | Description |
boolean |
|
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 |
|
| Exceptions | |
|---|---|
| Type | Description |
IOException |
|
mergeFrom(Message other)
public TextSentimentEvaluationMetrics.Builder mergeFrom(Message other)| Parameter | |
|---|---|
| Name | Description |
other |
Message |
| Returns | |
|---|---|
| Type | Description |
TextSentimentEvaluationMetrics.Builder |
|
mergeUnknownFields(UnknownFieldSet unknownFields)
public final TextSentimentEvaluationMetrics.Builder mergeUnknownFields(UnknownFieldSet unknownFields)| Parameter | |
|---|---|
| Name | Description |
unknownFields |
UnknownFieldSet |
| Returns | |
|---|---|
| Type | Description |
TextSentimentEvaluationMetrics.Builder |
|
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 |
floatThe 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 |
|
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 |
floatThe 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 |
floatThe 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 |
floatThe 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 |
floatThe 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 |
floatThe 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 |
floatThe 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 |
|
setUnknownFields(UnknownFieldSet unknownFields)
public final TextSentimentEvaluationMetrics.Builder setUnknownFields(UnknownFieldSet unknownFields)| Parameter | |
|---|---|
| Name | Description |
unknownFields |
UnknownFieldSet |
| Returns | |
|---|---|
| Type | Description |
TextSentimentEvaluationMetrics.Builder |
|