Class Result (0.3.0)

Version 0.3.0

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

The inference result which includes an objective metric to optimize and the confidence interval.

Attributes
Name	Description
version_metrics	Sequence[.gcdc_experiment.Experiment.Result.VersionMetrics] Version variants and metrics.
last_update_time	.timestamp.Timestamp The last time the experiment's stats data was updated. Will have default value if stats have never been computed for this experiment.

Classes

ConfidenceInterval

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

A confidence interval is a range of possible values for the experiment objective you are trying to measure.

Metric

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

Metric and corresponding confidence intervals.

MetricType

MetricType(value)

Types of metric for Dialogflow experiment.

VersionMetrics

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

Version variant and associated metrics.