Package com.google.cloud.automl.v1

Interface TextSentimentEvaluationMetricsOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
TextSentimentEvaluationMetrics, TextSentimentEvaluationMetrics.Builder
@Generated public interface TextSentimentEvaluationMetricsOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Details

    • getPrecision

      float getPrecision()
       Output only. Precision.
      float precision = 1;
      Returns:
      The precision.

    • getRecall

      float getRecall()
       Output only. Recall.
      float recall = 2;
      Returns:
      The recall.

    • getF1Score

      float getF1Score()
       Output only. The harmonic mean of recall and precision.
      float f1_score = 3;
      Returns:
      The f1Score.

    • getMeanAbsoluteError

      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:
      The meanAbsoluteError.

    • getMeanSquaredError

      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:
      The meanSquaredError.

    • getLinearKappa

      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:
      The linearKappa.

    • getQuadraticKappa

      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:
      The quadraticKappa.

    • hasConfusionMatrix

      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:
      Whether the confusionMatrix field is set.

    • getConfusionMatrix

      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:
      The confusionMatrix.

    • getConfusionMatrixOrBuilder

      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;