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public final class TextSentimentEvaluationMetrics extends GeneratedMessageV3 implements TextSentimentEvaluationMetricsOrBuilder
Model evaluation metrics for text sentiment problems.
Protobuf type google.cloud.automl.v1.TextSentimentEvaluationMetrics
Inheritance
Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > TextSentimentEvaluationMetricsImplements
TextSentimentEvaluationMetricsOrBuilderStatic 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()
Returns | |
---|---|
Type | Description |
TextSentimentEvaluationMetrics |
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns | |
---|---|
Type | Description |
Descriptor |
newBuilder()
public static TextSentimentEvaluationMetrics.Builder newBuilder()
Returns | |
---|---|
Type | Description |
TextSentimentEvaluationMetrics.Builder |
newBuilder(TextSentimentEvaluationMetrics prototype)
public static TextSentimentEvaluationMetrics.Builder newBuilder(TextSentimentEvaluationMetrics prototype)
Parameter | |
---|---|
Name | Description |
prototype | TextSentimentEvaluationMetrics |
Returns | |
---|---|
Type | Description |
TextSentimentEvaluationMetrics.Builder |
parseDelimitedFrom(InputStream input)
public static TextSentimentEvaluationMetrics parseDelimitedFrom(InputStream input)
Parameter | |
---|---|
Name | Description |
input | InputStream |
Returns | |
---|---|
Type | Description |
TextSentimentEvaluationMetrics |
Exceptions | |
---|---|
Type | Description |
IOException |
parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static TextSentimentEvaluationMetrics parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
input | InputStream |
extensionRegistry | ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
TextSentimentEvaluationMetrics |
Exceptions | |
---|---|
Type | Description |
IOException |
parseFrom(byte[] data)
public static TextSentimentEvaluationMetrics parseFrom(byte[] data)
Parameter | |
---|---|
Name | Description |
data | byte[] |
Returns | |
---|---|
Type | Description |
TextSentimentEvaluationMetrics |
Exceptions | |
---|---|
Type | Description |
InvalidProtocolBufferException |
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static TextSentimentEvaluationMetrics parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
data | byte[] |
extensionRegistry | ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
TextSentimentEvaluationMetrics |
Exceptions | |
---|---|
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteString data)
public static TextSentimentEvaluationMetrics parseFrom(ByteString data)
Parameter | |
---|---|
Name | Description |
data | ByteString |
Returns | |
---|---|
Type | Description |
TextSentimentEvaluationMetrics |
Exceptions | |
---|---|
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static TextSentimentEvaluationMetrics parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
data | ByteString |
extensionRegistry | ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
TextSentimentEvaluationMetrics |
Exceptions | |
---|---|
Type | Description |
InvalidProtocolBufferException |
parseFrom(CodedInputStream input)
public static TextSentimentEvaluationMetrics parseFrom(CodedInputStream input)
Parameter | |
---|---|
Name | Description |
input | CodedInputStream |
Returns | |
---|---|
Type | Description |
TextSentimentEvaluationMetrics |
Exceptions | |
---|---|
Type | Description |
IOException |
parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public static TextSentimentEvaluationMetrics parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
TextSentimentEvaluationMetrics |
Exceptions | |
---|---|
Type | Description |
IOException |
parseFrom(InputStream input)
public static TextSentimentEvaluationMetrics parseFrom(InputStream input)
Parameter | |
---|---|
Name | Description |
input | InputStream |
Returns | |
---|---|
Type | Description |
TextSentimentEvaluationMetrics |
Exceptions | |
---|---|
Type | Description |
IOException |
parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static TextSentimentEvaluationMetrics parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
input | InputStream |
extensionRegistry | ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
TextSentimentEvaluationMetrics |
Exceptions | |
---|---|
Type | Description |
IOException |
parseFrom(ByteBuffer data)
public static TextSentimentEvaluationMetrics parseFrom(ByteBuffer data)
Parameter | |
---|---|
Name | Description |
data | ByteBuffer |
Returns | |
---|---|
Type | Description |
TextSentimentEvaluationMetrics |
Exceptions | |
---|---|
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static TextSentimentEvaluationMetrics parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
data | ByteBuffer |
extensionRegistry | ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
TextSentimentEvaluationMetrics |
Exceptions | |
---|---|
Type | Description |
InvalidProtocolBufferException |
parser()
public static Parser<TextSentimentEvaluationMetrics> parser()
Returns | |
---|---|
Type | Description |
Parser<TextSentimentEvaluationMetrics> |
Methods
equals(Object obj)
public boolean equals(Object obj)
Parameter | |
---|---|
Name | Description |
obj | Object |
Returns | |
---|---|
Type | Description |
boolean |
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. |
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 |
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 | |
---|---|
Type | Description |
Parser<TextSentimentEvaluationMetrics> |
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. |
getSerializedSize()
public int getSerializedSize()
Returns | |
---|---|
Type | Description |
int |
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()
public int hashCode()
Returns | |
---|---|
Type | Description |
int |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns | |
---|---|
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Returns | |
---|---|
Type | Description |
boolean |
newBuilderForType()
public TextSentimentEvaluationMetrics.Builder newBuilderForType()
Returns | |
---|---|
Type | Description |
TextSentimentEvaluationMetrics.Builder |
newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected TextSentimentEvaluationMetrics.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter | |
---|---|
Name | Description |
parent | BuilderParent |
Returns | |
---|---|
Type | Description |
TextSentimentEvaluationMetrics.Builder |
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter | |
---|---|
Name | Description |
unused | UnusedPrivateParameter |
Returns | |
---|---|
Type | Description |
Object |
toBuilder()
public TextSentimentEvaluationMetrics.Builder toBuilder()
Returns | |
---|---|
Type | Description |
TextSentimentEvaluationMetrics.Builder |
writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)
Parameter | |
---|---|
Name | Description |
output | CodedOutputStream |
Exceptions | |
---|---|
Type | Description |
IOException |