Class SmartReplyMetrics (2.26.0rc0)

Version 2.26.0-rc0

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

The evaluation metrics for smart reply model.

Attributes
Name	Description
allowlist_coverage	float Percentage of target participant messages in the evaluation dataset for which similar messages have appeared at least once in the allowlist. Should be [0, 1].
top_n_metrics	MutableSequence[google.cloud.dialogflow_v2.types.SmartReplyMetrics.TopNMetrics] Metrics of top n smart replies, sorted by [TopNMetric.n][].
conversation_count	int Total number of conversations used to generate this metric.

Classes

TopNMetrics

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

Evaluation metrics when retrieving n smart replies with the model.