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Class Result (0.3.0)
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Version 0.3.0 keyboard_arrow_down
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
Types of metric for Dialogflow experiment.
VersionMetrics
VersionMetrics(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Version variant and associated metrics.
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Last updated 2024-08-30 UTC.
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