Interface TextSentimentProto.TextSentimentEvaluationMetricsOrBuilder (2.19.0)

public static interface TextSentimentProto.TextSentimentEvaluationMetricsOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getAnnotationSpecId(int index) (deprecated)

public abstract 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
NameDescription
indexint

The index of the element to return.

Returns
TypeDescription
String

The annotationSpecId at the given index.

getAnnotationSpecIdBytes(int index) (deprecated)

public abstract 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
NameDescription
indexint

The index of the value to return.

Returns
TypeDescription
ByteString

The bytes of the annotationSpecId at the given index.

getAnnotationSpecIdCount() (deprecated)

public abstract 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
TypeDescription
int

The count of annotationSpecId.

getAnnotationSpecIdList() (deprecated)

public abstract List<String> 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
TypeDescription
List<String>

A list containing the annotationSpecId.

getConfusionMatrix()

public abstract 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 abstract 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

getF1Score()

public abstract float getF1Score()

Output only. The harmonic mean of recall and precision.

float f1_score = 3;

Returns
TypeDescription
float

The f1Score.

getLinearKappa()

public abstract 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 abstract 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 abstract 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.

getPrecision()

public abstract float getPrecision()

Output only. Precision.

float precision = 1;

Returns
TypeDescription
float

The precision.

getQuadraticKappa()

public abstract 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 abstract float getRecall()

Output only. Recall.

float recall = 2;

Returns
TypeDescription
float

The recall.

hasConfusionMatrix()

public abstract 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.