Interface TextSentimentProto.TextSentimentEvaluationMetricsOrBuilder (2.1.23)

Version 2.1.23

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public static interface TextSentimentProto.TextSentimentEvaluationMetricsOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getAnnotationSpecId(int index)

public abstract String getAnnotationSpecId(int index)

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)

public abstract ByteString getAnnotationSpecIdBytes(int index)

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()

public abstract int getAnnotationSpecIdCount()

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()

public abstract List<String> getAnnotationSpecIdList()

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

repeated string annotation_spec_id = 9 [deprecated = true];

Returns

Type	Description
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

Type	Description
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

Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder

getF1Score()

public abstract float getF1Score()

Output only. The harmonic mean of recall and precision.

float f1_score = 3;

Returns

Type	Description
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

Type	Description
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

Type	Description
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

Type	Description
float	The meanSquaredError.

getPrecision()

public abstract float getPrecision()

Output only. Precision.

float precision = 1;

Returns

Type	Description
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

Type	Description
float	The quadraticKappa.

getRecall()

public abstract float getRecall()

Output only. Recall.

float recall = 2;

Returns

Type	Description
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

Type	Description
boolean	Whether the confusionMatrix field is set.