public final class TextSentimentEvaluationMetrics extends GeneratedMessageV3 implements TextSentimentEvaluationMetricsOrBuilder
Model evaluation metrics for text sentiment problems.
Protobuf type google.cloud.automl.v1.TextSentimentEvaluationMetrics
Static Fields
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 TextSentimentEvaluationMetrics getDefaultInstance()
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getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns
newBuilder()
public static TextSentimentEvaluationMetrics.Builder newBuilder()
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newBuilder(TextSentimentEvaluationMetrics prototype)
public static TextSentimentEvaluationMetrics.Builder newBuilder(TextSentimentEvaluationMetrics prototype)
Parameter
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parseDelimitedFrom(InputStream input)
public static TextSentimentEvaluationMetrics parseDelimitedFrom(InputStream input)
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Exceptions
parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static TextSentimentEvaluationMetrics parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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Exceptions
parseFrom(byte[] data)
public static TextSentimentEvaluationMetrics parseFrom(byte[] data)
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Name | Description |
data | byte[]
|
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Exceptions
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static TextSentimentEvaluationMetrics parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
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Exceptions
parseFrom(ByteString data)
public static TextSentimentEvaluationMetrics parseFrom(ByteString data)
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Exceptions
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static TextSentimentEvaluationMetrics parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
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Exceptions
parseFrom(CodedInputStream input)
public static TextSentimentEvaluationMetrics parseFrom(CodedInputStream input)
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Exceptions
parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public static TextSentimentEvaluationMetrics parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
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Exceptions
parseFrom(InputStream input)
public static TextSentimentEvaluationMetrics parseFrom(InputStream input)
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Exceptions
parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static TextSentimentEvaluationMetrics parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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Exceptions
parseFrom(ByteBuffer data)
public static TextSentimentEvaluationMetrics parseFrom(ByteBuffer data)
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Exceptions
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static TextSentimentEvaluationMetrics parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
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Exceptions
parser()
public static Parser<TextSentimentEvaluationMetrics> parser()
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Methods
equals(Object obj)
public boolean equals(Object obj)
Parameter
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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
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
getDefaultInstanceForType()
public TextSentimentEvaluationMetrics getDefaultInstanceForType()
Returns
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.
|
getParserForType()
public Parser<TextSentimentEvaluationMetrics> getParserForType()
Returns
Overrides
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()
Output only. Recall.
float recall = 2;
Returns
Type | Description |
float | The recall.
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getSerializedSize()
public int getSerializedSize()
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Overrides
getUnknownFields()
public final UnknownFieldSet getUnknownFields()
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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.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;
Returns
Type | Description |
boolean | Whether the confusionMatrix field is set.
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hashCode()
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Overrides
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
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Overrides
isInitialized()
public final boolean isInitialized()
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Overrides
newBuilderForType()
public TextSentimentEvaluationMetrics.Builder newBuilderForType()
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newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected TextSentimentEvaluationMetrics.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
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Overrides
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
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Overrides
toBuilder()
public TextSentimentEvaluationMetrics.Builder toBuilder()
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writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)
Parameter
Overrides
Exceptions