Class TextSentimentEvaluationMetrics (2.11.0) 

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 > TextSentimentEvaluationMetrics

Static Fields

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

Static Methods

getDefaultInstance()

public static TextSentimentEvaluationMetrics getDefaultInstance()
Returns
TypeDescription
TextSentimentEvaluationMetrics

getDescriptor()

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

newBuilder()

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

newBuilder(TextSentimentEvaluationMetrics prototype)

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

parseDelimitedFrom(InputStream input)

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

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

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

parseFrom(byte[] data)

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

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

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

parseFrom(ByteString data)

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

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

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

parseFrom(CodedInputStream input)

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

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

parseFrom(InputStream input)

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

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

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

parseFrom(ByteBuffer data)

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

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

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

parser()

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

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
NameDescription
objObject
Returns
TypeDescription
boolean
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
TypeDescription
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
TypeDescription
ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder

getDefaultInstanceForType()

public TextSentimentEvaluationMetrics getDefaultInstanceForType()
Returns
TypeDescription
TextSentimentEvaluationMetrics

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<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.v1.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

newBuilderForType()

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

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

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

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

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

toBuilder()

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

writeTo(CodedOutputStream output)

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