Class TextSentimentProto.TextSentimentEvaluationMetrics (2.52.0) 

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

Inheritance

Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > TextSentimentProto.TextSentimentEvaluationMetrics

Static Fields

ANNOTATION_SPEC_ID_FIELD_NUMBER

public static final int ANNOTATION_SPEC_ID_FIELD_NUMBER
Field Value
Type Description
int

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 TextSentimentProto.TextSentimentEvaluationMetrics getDefaultInstance()
Returns
Type Description
TextSentimentProto.TextSentimentEvaluationMetrics

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

newBuilder()

public static TextSentimentProto.TextSentimentEvaluationMetrics.Builder newBuilder()
Returns
Type Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

newBuilder(TextSentimentProto.TextSentimentEvaluationMetrics prototype)

public static TextSentimentProto.TextSentimentEvaluationMetrics.Builder newBuilder(TextSentimentProto.TextSentimentEvaluationMetrics prototype)
Parameter
Name Description
prototype TextSentimentProto.TextSentimentEvaluationMetrics
Returns
Type Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

parseDelimitedFrom(InputStream input)

public static TextSentimentProto.TextSentimentEvaluationMetrics parseDelimitedFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
TextSentimentProto.TextSentimentEvaluationMetrics
Exceptions
Type Description
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static TextSentimentProto.TextSentimentEvaluationMetrics parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
TextSentimentProto.TextSentimentEvaluationMetrics
Exceptions
Type Description
IOException

parseFrom(byte[] data)

public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(byte[] data)
Parameter
Name Description
data byte[]
Returns
Type Description
TextSentimentProto.TextSentimentEvaluationMetrics
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data byte[]
extensionRegistry ExtensionRegistryLite
Returns
Type Description
TextSentimentProto.TextSentimentEvaluationMetrics
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data)

public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(ByteString data)
Parameter
Name Description
data ByteString
Returns
Type Description
TextSentimentProto.TextSentimentEvaluationMetrics
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteString
extensionRegistry ExtensionRegistryLite
Returns
Type Description
TextSentimentProto.TextSentimentEvaluationMetrics
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(CodedInputStream input)
Parameter
Name Description
input CodedInputStream
Returns
Type Description
TextSentimentProto.TextSentimentEvaluationMetrics
Exceptions
Type Description
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
TextSentimentProto.TextSentimentEvaluationMetrics
Exceptions
Type Description
IOException

parseFrom(InputStream input)

public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
TextSentimentProto.TextSentimentEvaluationMetrics
Exceptions
Type Description
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
TextSentimentProto.TextSentimentEvaluationMetrics
Exceptions
Type Description
IOException

parseFrom(ByteBuffer data)

public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(ByteBuffer data)
Parameter
Name Description
data ByteBuffer
Returns
Type Description
TextSentimentProto.TextSentimentEvaluationMetrics
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteBuffer
extensionRegistry ExtensionRegistryLite
Returns
Type Description
TextSentimentProto.TextSentimentEvaluationMetrics
Exceptions
Type Description
InvalidProtocolBufferException

parser()

public static Parser<TextSentimentProto.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
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];

Parameter
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];

Parameter
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];

Returns
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];

Returns
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;

Returns
Type Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix

The confusionMatrix.

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;

Returns
Type Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder

getDefaultInstanceForType()

public TextSentimentProto.TextSentimentEvaluationMetrics getDefaultInstanceForType()
Returns
Type Description
TextSentimentProto.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<TextSentimentProto.TextSentimentEvaluationMetrics> getParserForType()
Returns
Type Description
Parser<TextSentimentEvaluationMetrics>
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()

public float 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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;

Returns
Type Description
boolean

Whether the confusionMatrix field is set.

hashCode()

public int hashCode()
Returns
Type Description
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

newBuilderForType()

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder newBuilderForType()
Returns
Type Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected TextSentimentProto.TextSentimentEvaluationMetrics.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
Name Description
parent BuilderParent
Returns
Type Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
Name Description
unused UnusedPrivateParameter
Returns
Type Description
Object
Overrides

toBuilder()

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder toBuilder()
Returns
Type Description
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
Name Description
output CodedOutputStream
Overrides
Exceptions
Type Description
IOException