Class TextSentimentEvaluationMetrics (2.3.0)

Version 2.3.0

• 2.14.1 (latest)
• 2.14.0
• 2.13.5
• 2.12.0
• 2.11.4
• 2.10.1
• 2.9.0
• 2.8.3
• 2.7.3
• 2.6.0
• 2.5.2
• 2.4.2
• 2.3.0
• 2.2.0
• 2.1.0
• 2.0.0
• 1.0.3
• 0.10.0
• 0.9.0
• 0.8.0
• 0.7.1
• 0.6.0
• 0.5.0
• 0.4.0

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 .