public static final class TextSentimentProto.TextSentimentEvaluationMetrics extends GeneratedMessageV3 implements TextSentimentProto.TextSentimentEvaluationMetricsOrBuilder
Model evaluation metrics for text sentiment problems.
Protobuf type google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics
Static Fields
ANNOTATION_SPEC_ID_FIELD_NUMBER
public static final int ANNOTATION_SPEC_ID_FIELD_NUMBER
Field Value
CONFUSION_MATRIX_FIELD_NUMBER
public static final int CONFUSION_MATRIX_FIELD_NUMBER
Field Value
F1_SCORE_FIELD_NUMBER
public static final int F1_SCORE_FIELD_NUMBER
Field Value
LINEAR_KAPPA_FIELD_NUMBER
public static final int LINEAR_KAPPA_FIELD_NUMBER
Field Value
MEAN_ABSOLUTE_ERROR_FIELD_NUMBER
public static final int MEAN_ABSOLUTE_ERROR_FIELD_NUMBER
Field Value
MEAN_SQUARED_ERROR_FIELD_NUMBER
public static final int MEAN_SQUARED_ERROR_FIELD_NUMBER
Field Value
PRECISION_FIELD_NUMBER
public static final int PRECISION_FIELD_NUMBER
Field Value
QUADRATIC_KAPPA_FIELD_NUMBER
public static final int QUADRATIC_KAPPA_FIELD_NUMBER
Field Value
RECALL_FIELD_NUMBER
public static final int RECALL_FIELD_NUMBER
Field Value
Static Methods
getDefaultInstance()
public static TextSentimentProto.TextSentimentEvaluationMetrics getDefaultInstance()
Returns
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns
newBuilder()
public static TextSentimentProto.TextSentimentEvaluationMetrics.Builder newBuilder()
Returns
newBuilder(TextSentimentProto.TextSentimentEvaluationMetrics prototype)
public static TextSentimentProto.TextSentimentEvaluationMetrics.Builder newBuilder(TextSentimentProto.TextSentimentEvaluationMetrics prototype)
Parameter
Returns
parseDelimitedFrom(InputStream input)
public static TextSentimentProto.TextSentimentEvaluationMetrics parseDelimitedFrom(InputStream input)
Parameter
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Exceptions
parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static TextSentimentProto.TextSentimentEvaluationMetrics parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
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Exceptions
parseFrom(byte[] data)
public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(byte[] data)
Parameter
| Name | Description |
data | byte[]
|
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Exceptions
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
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Exceptions
parseFrom(ByteString data)
public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(ByteString data)
Parameter
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Exceptions
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
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Exceptions
parseFrom(CodedInputStream input)
public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(CodedInputStream input)
Parameter
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Exceptions
parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
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Exceptions
parseFrom(InputStream input)
public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(InputStream input)
Parameter
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Exceptions
parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
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Exceptions
parseFrom(ByteBuffer data)
public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(ByteBuffer data)
Parameter
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Exceptions
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
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Exceptions
parser()
public static Parser<TextSentimentProto.TextSentimentEvaluationMetrics> parser()
Returns
Methods
equals(Object obj)
public boolean equals(Object obj)
Parameter
Returns
Overrides
getAnnotationSpecId(int index) (deprecated)
public String getAnnotationSpecId(int index)
Deprecated. google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id is
deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=77
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.
|
Returns
| Type | Description |
String | The annotationSpecId at the given index.
|
getAnnotationSpecIdBytes(int index) (deprecated)
public ByteString getAnnotationSpecIdBytes(int index)
Deprecated. google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id is
deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=77
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.
|
Returns
| Type | Description |
ByteString | The bytes of the annotationSpecId at the given index.
|
getAnnotationSpecIdCount() (deprecated)
public int getAnnotationSpecIdCount()
Deprecated. google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id is
deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=77
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() (deprecated)
public ProtocolStringList getAnnotationSpecIdList()
Deprecated. google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id is
deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=77
Output only. The annotation spec ids used for this evaluation.
Deprecated .
repeated string annotation_spec_id = 9 [deprecated = true];
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;
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;
getDefaultInstanceForType()
public TextSentimentProto.TextSentimentEvaluationMetrics getDefaultInstanceForType()
Returns
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.
|
getParserForType()
public Parser<TextSentimentProto.TextSentimentEvaluationMetrics> getParserForType()
Returns
Overrides
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()
Output only. Recall.
float recall = 2;
| Type | Description |
float | The recall.
|
getSerializedSize()
public int getSerializedSize()
Returns
Overrides
getUnknownFields()
public final UnknownFieldSet getUnknownFields()
Returns
Overrides
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.
|
hashCode()
Returns
Overrides
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Overrides
isInitialized()
public final boolean isInitialized()
Returns
Overrides
newBuilderForType()
public TextSentimentProto.TextSentimentEvaluationMetrics.Builder newBuilderForType()
Returns
newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected TextSentimentProto.TextSentimentEvaluationMetrics.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
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Overrides
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
Returns
Overrides
toBuilder()
public TextSentimentProto.TextSentimentEvaluationMetrics.Builder toBuilder()
Returns
writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)
Parameter
Overrides
Exceptions
