Interface TextSentimentEvaluationMetricsOrBuilder (2.19.0)

Version 2.19.0

• 2.53.0 (latest)
• 2.52.0
• 2.51.0
• 2.49.0
• 2.48.0
• 2.47.0
• 2.46.0
• 2.45.0
• 2.44.0
• 2.43.0
• 2.42.0
• 2.41.0
• 2.40.0
• 2.39.0
• 2.37.0
• 2.36.0
• 2.35.0
• 2.34.0
• 2.33.0
• 2.32.0
• 2.31.0
• 2.30.0
• 2.29.0
• 2.28.0
• 2.27.0
• 2.24.0
• 2.23.0
• 2.22.0
• 2.21.0
• 2.20.0
• 2.19.0
• 2.18.0
• 2.17.0
• 2.16.0
• 2.15.0
• 2.14.0
• 2.13.0
• 2.12.0
• 2.11.0
• 2.10.0
• 2.9.0
• 2.8.0
• 2.7.0
• 2.6.0
• 2.5.0
• 2.4.0
• 2.3.18
• 2.2.3
• 2.1.23

public interface TextSentimentEvaluationMetricsOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getConfusionMatrix()

public abstract 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
Type	Description
ClassificationEvaluationMetrics.ConfusionMatrix	The confusionMatrix.

getConfusionMatrixOrBuilder()

public abstract 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
Type	Description
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.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;

Returns
Type	Description
boolean	Whether the confusionMatrix field is set.