Class TextSentimentProto.TextSentimentEvaluationMetrics

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

Fields

ANNOTATION_SPEC_ID_FIELD_NUMBER

public static final int ANNOTATION_SPEC_ID_FIELD_NUMBER
Field Value
TypeDescription
int

CONFUSION_MATRIX_FIELD_NUMBER

public static final int CONFUSION_MATRIX_FIELD_NUMBER
Field Value
TypeDescription
int

F1_SCORE_FIELD_NUMBER

public static final int F1_SCORE_FIELD_NUMBER
Field Value
TypeDescription
int

LINEAR_KAPPA_FIELD_NUMBER

public static final int LINEAR_KAPPA_FIELD_NUMBER
Field Value
TypeDescription
int

MEAN_ABSOLUTE_ERROR_FIELD_NUMBER

public static final int MEAN_ABSOLUTE_ERROR_FIELD_NUMBER
Field Value
TypeDescription
int

MEAN_SQUARED_ERROR_FIELD_NUMBER

public static final int MEAN_SQUARED_ERROR_FIELD_NUMBER
Field Value
TypeDescription
int

PRECISION_FIELD_NUMBER

public static final int PRECISION_FIELD_NUMBER
Field Value
TypeDescription
int

QUADRATIC_KAPPA_FIELD_NUMBER

public static final int QUADRATIC_KAPPA_FIELD_NUMBER
Field Value
TypeDescription
int

RECALL_FIELD_NUMBER

public static final int RECALL_FIELD_NUMBER
Field Value
TypeDescription
int

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
NameDescription
objObject
Returns
TypeDescription
boolean
Overrides

getAnnotationSpecId(int index)

public String getAnnotationSpecId(int index)

Output only. The annotation spec ids used for this evaluation. Deprecated .

repeated string annotation_spec_id = 9 [deprecated = true];

Parameter
NameDescription
indexint

The index of the element to return.

Returns
TypeDescription
String

The annotationSpecId at the given index.

getAnnotationSpecIdBytes(int index)

public ByteString getAnnotationSpecIdBytes(int index)

Output only. The annotation spec ids used for this evaluation. Deprecated .

repeated string annotation_spec_id = 9 [deprecated = true];

Parameter
NameDescription
indexint

The index of the value to return.

Returns
TypeDescription
ByteString

The bytes of the annotationSpecId at the given index.

getAnnotationSpecIdCount()

public int getAnnotationSpecIdCount()

Output only. The annotation spec ids used for this evaluation. Deprecated .

repeated string annotation_spec_id = 9 [deprecated = true];

Returns
TypeDescription
int

The count of annotationSpecId.

getAnnotationSpecIdList()

public ProtocolStringList getAnnotationSpecIdList()

Output only. The annotation spec ids used for this evaluation. Deprecated .

repeated string annotation_spec_id = 9 [deprecated = true];

Returns
TypeDescription
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
TypeDescription
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
TypeDescription
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder

getDefaultInstance()

public static TextSentimentProto.TextSentimentEvaluationMetrics getDefaultInstance()
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics

getDefaultInstanceForType()

public TextSentimentProto.TextSentimentEvaluationMetrics getDefaultInstanceForType()
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
TypeDescription
Descriptor

getF1Score()

public float getF1Score()

Output only. The harmonic mean of recall and precision.

float f1_score = 3;

Returns
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
float

The meanSquaredError.

getParserForType()

public Parser<TextSentimentProto.TextSentimentEvaluationMetrics> getParserForType()
Returns
TypeDescription
Parser<TextSentimentEvaluationMetrics>
Overrides

getPrecision()

public float getPrecision()

Output only. Precision.

float precision = 1;

Returns
TypeDescription
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
TypeDescription
float

The quadraticKappa.

getRecall()

public float getRecall()

Output only. Recall.

float recall = 2;

Returns
TypeDescription
float

The recall.

getSerializedSize()

public int getSerializedSize()
Returns
TypeDescription
int
Overrides

getUnknownFields()

public final UnknownFieldSet getUnknownFields()
Returns
TypeDescription
UnknownFieldSet
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
TypeDescription
boolean

Whether the confusionMatrix field is set.

hashCode()

public int hashCode()
Returns
TypeDescription
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

newBuilder()

public static TextSentimentProto.TextSentimentEvaluationMetrics.Builder newBuilder()
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

newBuilder(TextSentimentProto.TextSentimentEvaluationMetrics prototype)

public static TextSentimentProto.TextSentimentEvaluationMetrics.Builder newBuilder(TextSentimentProto.TextSentimentEvaluationMetrics prototype)
Parameter
NameDescription
prototypeTextSentimentProto.TextSentimentEvaluationMetrics
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

newBuilderForType()

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder newBuilderForType()
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected TextSentimentProto.TextSentimentEvaluationMetrics.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
NameDescription
parentBuilderParent
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
NameDescription
unusedUnusedPrivateParameter
Returns
TypeDescription
Object
Overrides

parseDelimitedFrom(InputStream input)

public static TextSentimentProto.TextSentimentEvaluationMetrics parseDelimitedFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics
Exceptions
TypeDescription
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static TextSentimentProto.TextSentimentEvaluationMetrics parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics
Exceptions
TypeDescription
IOException

parseFrom(byte[] data)

public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(byte[] data)
Parameter
NameDescription
databyte[]
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
databyte[]
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data)

public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(ByteString data)
Parameter
NameDescription
dataByteString
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteString
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(CodedInputStream input)
Parameter
NameDescription
inputCodedInputStream
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics
Exceptions
TypeDescription
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics
Exceptions
TypeDescription
IOException

parseFrom(InputStream input)

public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics
Exceptions
TypeDescription
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics
Exceptions
TypeDescription
IOException

parseFrom(ByteBuffer data)

public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(ByteBuffer data)
Parameter
NameDescription
dataByteBuffer
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static TextSentimentProto.TextSentimentEvaluationMetrics parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteBuffer
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics
Exceptions
TypeDescription
InvalidProtocolBufferException

parser()

public static Parser<TextSentimentProto.TextSentimentEvaluationMetrics> parser()
Returns
TypeDescription
Parser<TextSentimentEvaluationMetrics>

toBuilder()

public TextSentimentProto.TextSentimentEvaluationMetrics.Builder toBuilder()
Returns
TypeDescription
TextSentimentProto.TextSentimentEvaluationMetrics.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
NameDescription
outputCodedOutputStream
Overrides Exceptions
TypeDescription
IOException