Class Result (0.4.1)

Version 0.4.1

• 1.36.0 (latest)
• 1.35.0
• 1.34.1
• 1.33.0
• 1.32.1
• 1.31.1
• 1.30.1
• 1.29.0
• 1.28.0
• 1.27.0
• 1.26.0
• 1.25.0
• 1.24.0
• 1.23.1
• 1.22.0
• 1.21.0
• 1.20.1
• 1.19.0
• 1.18.0
• 1.17.1
• 1.16.0
• 1.15.0
• 1.14.1
• 1.13.5
• 1.12.1
• 1.11.0
• 1.10.0
• 1.9.1
• 1.8.0
• 1.7.0
• 1.6.0
• 1.5.0
• 1.4.0
• 1.3.2
• 1.2.0
• 1.1.1
• 1.0.0
• 0.8.2
• 0.7.1
• 0.6.0
• 0.5.0
• 0.4.1
• 0.3.0
• 0.2.0
• 0.1.1

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[google.cloud.dialogflowcx_v3.types.Experiment.Result.VersionMetrics] Version variants and metrics.
last_update_time	google.protobuf.timestamp_pb2.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.

CountType

CountType(value)

Types of count-based metric for Dialogflow experiment.

Metric

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

Metric and corresponding confidence intervals.

MetricType

MetricType(value)

Types of ratio-based metric for Dialogflow experiment.

VersionMetrics

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

Version variant and associated metrics.