Class TextSentimentEvaluationMetrics (2.3.0)

Version 2.3.0

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TextSentimentEvaluationMetrics(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Model evaluation metrics for text sentiment problems.

Attributes

Name	Description
precision	float Output only. Precision.
recall	float Output only. Recall.
f1_score	float Output only. The harmonic mean of recall and precision.
mean_absolute_error	float Output only. Mean absolute error. Only set for the overall model evaluation, not for evaluation of a single annotation spec.
mean_squared_error	float Output only. Mean squared error. Only set for the overall model evaluation, not for evaluation of a single annotation spec.
linear_kappa	float Output only. Linear weighted kappa. Only set for the overall model evaluation, not for evaluation of a single annotation spec.
quadratic_kappa	float Output only. Quadratic weighted kappa. Only set for the overall model evaluation, not for evaluation of a single annotation spec.
confusion_matrix	google.cloud.automl_v1beta1.types.ClassificationEvaluationMetrics.ConfusionMatrix Output only. Confusion matrix of the evaluation. Only set for the overall model evaluation, not for evaluation of a single annotation spec.
annotation_spec_id	Sequence[str] Output only. The annotation spec ids used for this evaluation. Deprecated .