- 2.51.0 (latest)
- 2.49.0
- 2.48.0
- 2.47.0
- 2.46.0
- 2.45.0
- 2.44.0
- 2.43.0
- 2.42.0
- 2.41.0
- 2.40.0
- 2.39.0
- 2.37.0
- 2.36.0
- 2.35.0
- 2.34.0
- 2.33.0
- 2.32.0
- 2.31.0
- 2.30.0
- 2.29.0
- 2.28.0
- 2.27.0
- 2.24.0
- 2.23.0
- 2.22.0
- 2.21.0
- 2.20.0
- 2.19.0
- 2.18.0
- 2.17.0
- 2.16.0
- 2.15.0
- 2.14.0
- 2.13.0
- 2.12.0
- 2.11.0
- 2.10.0
- 2.9.0
- 2.8.0
- 2.7.0
- 2.6.0
- 2.5.0
- 2.4.0
- 2.3.18
- 2.2.3
- 2.1.23
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.BuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Type | Description |
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];
Name | Description |
values | Iterable<String> The annotationSpecId to add. |
Type | Description |
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];
Name | Description |
value | String The annotationSpecId to add. |
Type | Description |
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];
Name | Description |
value | ByteString The bytes of the annotationSpecId to add. |
Type | Description |
TextSentimentProto.TextSentimentEvaluationMetrics.Builder | This builder for chaining. |
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public TextSentimentProto.TextSentimentEvaluationMetrics.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
TextSentimentProto.TextSentimentEvaluationMetrics.Builder |
build()
public TextSentimentProto.TextSentimentEvaluationMetrics build()
Type | Description |
TextSentimentProto.TextSentimentEvaluationMetrics |
buildPartial()
public TextSentimentProto.TextSentimentEvaluationMetrics buildPartial()
Type | Description |
TextSentimentProto.TextSentimentEvaluationMetrics |
clear()
public TextSentimentProto.TextSentimentEvaluationMetrics.Builder clear()
Type | Description |
TextSentimentProto.TextSentimentEvaluationMetrics.Builder |
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];
Type | Description |
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;
Type | Description |
TextSentimentProto.TextSentimentEvaluationMetrics.Builder |
clearF1Score()
public TextSentimentProto.TextSentimentEvaluationMetrics.Builder clearF1Score()
Output only. The harmonic mean of recall and precision.
float f1_score = 3;
Type | Description |
TextSentimentProto.TextSentimentEvaluationMetrics.Builder | This builder for chaining. |
clearField(Descriptors.FieldDescriptor field)
public TextSentimentProto.TextSentimentEvaluationMetrics.Builder clearField(Descriptors.FieldDescriptor field)
Name | Description |
field | FieldDescriptor |
Type | Description |
TextSentimentProto.TextSentimentEvaluationMetrics.Builder |
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;
Type | Description |
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;
Type | Description |
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;
Type | Description |
TextSentimentProto.TextSentimentEvaluationMetrics.Builder | This builder for chaining. |
clearOneof(Descriptors.OneofDescriptor oneof)
public TextSentimentProto.TextSentimentEvaluationMetrics.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Name | Description |
oneof | OneofDescriptor |
Type | Description |
TextSentimentProto.TextSentimentEvaluationMetrics.Builder |
clearPrecision()
public TextSentimentProto.TextSentimentEvaluationMetrics.Builder clearPrecision()
Output only. Precision.
float precision = 1;
Type | Description |
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;
Type | Description |
TextSentimentProto.TextSentimentEvaluationMetrics.Builder | This builder for chaining. |
clearRecall()
public TextSentimentProto.TextSentimentEvaluationMetrics.Builder clearRecall()
Output only. Recall.
float recall = 2;
Type | Description |
TextSentimentProto.TextSentimentEvaluationMetrics.Builder | This builder for chaining. |
clone()
public TextSentimentProto.TextSentimentEvaluationMetrics.Builder clone()
Type | Description |
TextSentimentProto.TextSentimentEvaluationMetrics.Builder |
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];
Name | Description |
index | int The index of the element to return. |
Type | Description |
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];
Name | Description |
index | int The index of the value to return. |
Type | Description |
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];
Type | Description |
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];
Type | Description |
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;
Type | Description |
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;
Type | Description |
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;
Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder |
getDefaultInstanceForType()
public TextSentimentProto.TextSentimentEvaluationMetrics getDefaultInstanceForType()
Type | Description |
TextSentimentProto.TextSentimentEvaluationMetrics |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Type | Description |
Descriptor |
getF1Score()
public float getF1Score()
Output only. The harmonic mean of recall and precision.
float f1_score = 3;
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;
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;
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;
Type | Description |
float | The meanSquaredError. |
getPrecision()
public float getPrecision()
Output only. Precision.
float precision = 1;
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;
Type | Description |
float | The quadraticKappa. |
getRecall()
public float getRecall()
Output only. Recall.
float recall = 2;
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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;
Type | Description |
boolean | Whether the confusionMatrix field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Type | Description |
boolean |
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;
Name | Description |
value | ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix |
Type | Description |
TextSentimentProto.TextSentimentEvaluationMetrics.Builder |
mergeFrom(TextSentimentProto.TextSentimentEvaluationMetrics other)
public TextSentimentProto.TextSentimentEvaluationMetrics.Builder mergeFrom(TextSentimentProto.TextSentimentEvaluationMetrics other)
Name | Description |
other | TextSentimentProto.TextSentimentEvaluationMetrics |
Type | Description |
TextSentimentProto.TextSentimentEvaluationMetrics.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public TextSentimentProto.TextSentimentEvaluationMetrics.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
TextSentimentProto.TextSentimentEvaluationMetrics.Builder |
Type | Description |
IOException |
mergeFrom(Message other)
public TextSentimentProto.TextSentimentEvaluationMetrics.Builder mergeFrom(Message other)
Name | Description |
other | Message |
Type | Description |
TextSentimentProto.TextSentimentEvaluationMetrics.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final TextSentimentProto.TextSentimentEvaluationMetrics.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
TextSentimentProto.TextSentimentEvaluationMetrics.Builder |
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];
Name | Description |
index | int The index to set the value at. |
value | String The annotationSpecId to set. |
Type | Description |
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;
Name | Description |
value | ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix |
Type | Description |
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;
Name | Description |
builderForValue | ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder |
Type | Description |
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;
Name | Description |
value | float The f1Score to set. |
Type | Description |
TextSentimentProto.TextSentimentEvaluationMetrics.Builder | This builder for chaining. |
setField(Descriptors.FieldDescriptor field, Object value)
public TextSentimentProto.TextSentimentEvaluationMetrics.Builder setField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
TextSentimentProto.TextSentimentEvaluationMetrics.Builder |
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;
Name | Description |
value | float The linearKappa to set. |
Type | Description |
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;
Name | Description |
value | float The meanAbsoluteError to set. |
Type | Description |
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;
Name | Description |
value | float The meanSquaredError to set. |
Type | Description |
TextSentimentProto.TextSentimentEvaluationMetrics.Builder | This builder for chaining. |
setPrecision(float value)
public TextSentimentProto.TextSentimentEvaluationMetrics.Builder setPrecision(float value)
Output only. Precision.
float precision = 1;
Name | Description |
value | float The precision to set. |
Type | Description |
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;
Name | Description |
value | float The quadraticKappa to set. |
Type | Description |
TextSentimentProto.TextSentimentEvaluationMetrics.Builder | This builder for chaining. |
setRecall(float value)
public TextSentimentProto.TextSentimentEvaluationMetrics.Builder setRecall(float value)
Output only. Recall.
float recall = 2;
Name | Description |
value | float The recall to set. |
Type | Description |
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)
Name | Description |
field | FieldDescriptor |
index | int |
value | Object |
Type | Description |
TextSentimentProto.TextSentimentEvaluationMetrics.Builder |
setUnknownFields(UnknownFieldSet unknownFields)
public final TextSentimentProto.TextSentimentEvaluationMetrics.Builder setUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
TextSentimentProto.TextSentimentEvaluationMetrics.Builder |