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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 |
MutableSequence[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. |
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.