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Class TextSentimentEvaluationMetrics (2.24.0)
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Version 2.24.0 keyboard_arrow_down
public final class TextSentimentEvaluationMetrics extends GeneratedMessageV3 implements TextSentimentEvaluationMetricsOrBuilder
Model evaluation metrics for text sentiment problems.
Protobuf type google.cloud.automl.v1.TextSentimentEvaluationMetrics
Inherited Members
com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT)
Static Fields
CONFUSION_MATRIX_FIELD_NUMBER
public static final int CONFUSION_MATRIX_FIELD_NUMBER
Field Value Type Description int
F1_SCORE_FIELD_NUMBER
public static final int F1_SCORE_FIELD_NUMBER
Field Value Type Description int
LINEAR_KAPPA_FIELD_NUMBER
public static final int LINEAR_KAPPA_FIELD_NUMBER
Field Value Type Description int
MEAN_ABSOLUTE_ERROR_FIELD_NUMBER
public static final int MEAN_ABSOLUTE_ERROR_FIELD_NUMBER
Field Value Type Description int
MEAN_SQUARED_ERROR_FIELD_NUMBER
public static final int MEAN_SQUARED_ERROR_FIELD_NUMBER
Field Value Type Description int
PRECISION_FIELD_NUMBER
public static final int PRECISION_FIELD_NUMBER
Field Value Type Description int
QUADRATIC_KAPPA_FIELD_NUMBER
public static final int QUADRATIC_KAPPA_FIELD_NUMBER
Field Value Type Description int
RECALL_FIELD_NUMBER
public static final int RECALL_FIELD_NUMBER
Field Value Type Description int
Static Methods
getDefaultInstance()
public static TextSentimentEvaluationMetrics getDefaultInstance ()
getDescriptor()
public static final Descriptors . Descriptor getDescriptor ()
newBuilder()
public static TextSentimentEvaluationMetrics . Builder newBuilder ()
newBuilder(TextSentimentEvaluationMetrics prototype)
public static TextSentimentEvaluationMetrics . Builder newBuilder ( TextSentimentEvaluationMetrics prototype )
parseDelimitedFrom(InputStream input)
public static TextSentimentEvaluationMetrics parseDelimitedFrom ( InputStream input )
parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static TextSentimentEvaluationMetrics parseDelimitedFrom ( InputStream input , ExtensionRegistryLite extensionRegistry )
parseFrom(byte[] data)
public static TextSentimentEvaluationMetrics parseFrom ( byte [] data )
Parameter Name Description databyte []
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static TextSentimentEvaluationMetrics parseFrom ( byte [] data , ExtensionRegistryLite extensionRegistry )
parseFrom(ByteString data)
public static TextSentimentEvaluationMetrics parseFrom ( ByteString data )
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static TextSentimentEvaluationMetrics parseFrom ( ByteString data , ExtensionRegistryLite extensionRegistry )
parseFrom(CodedInputStream input)
public static TextSentimentEvaluationMetrics parseFrom ( CodedInputStream input )
parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public static TextSentimentEvaluationMetrics parseFrom ( CodedInputStream input , ExtensionRegistryLite extensionRegistry )
parseFrom(InputStream input)
public static TextSentimentEvaluationMetrics parseFrom ( InputStream input )
parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static TextSentimentEvaluationMetrics parseFrom ( InputStream input , ExtensionRegistryLite extensionRegistry )
parseFrom(ByteBuffer data)
public static TextSentimentEvaluationMetrics parseFrom ( ByteBuffer data )
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static TextSentimentEvaluationMetrics parseFrom ( ByteBuffer data , ExtensionRegistryLite extensionRegistry )
parser()
public static Parser<TextSentimentEvaluationMetrics> parser ()
Methods
equals(Object obj)
public boolean equals ( Object obj )
Parameter Name Description objObject
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;
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;
getDefaultInstanceForType()
public TextSentimentEvaluationMetrics getDefaultInstanceForType ()
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 ()
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.
getSerializedSize()
public int getSerializedSize ()
Returns Type Description int
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.
hashCode()
Returns Type Description int
Overrides
internalGetFieldAccessorTable()
protected GeneratedMessageV3 . FieldAccessorTable internalGetFieldAccessorTable ()
Overrides
isInitialized()
public final boolean isInitialized ()
Overrides
newBuilderForType()
public TextSentimentEvaluationMetrics . Builder newBuilderForType ()
newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected TextSentimentEvaluationMetrics . Builder newBuilderForType ( GeneratedMessageV3 . BuilderParent parent )
Overrides
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance ( GeneratedMessageV3 . UnusedPrivateParameter unused )
Overrides
toBuilder()
public TextSentimentEvaluationMetrics . Builder toBuilder ()
writeTo(CodedOutputStream output)
public void writeTo ( CodedOutputStream output )
Overrides
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Last updated 2025-01-27 UTC.
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[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-01-27 UTC."],[],[]]
