Class Result (1.13.1)

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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

NameDescription
version_metrics Sequence[google.cloud.dialogflowcx_v3beta1.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.

Inheritance

builtins.object > proto.message.Message > Result

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.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

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.