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IterationRep.md

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# IterationRep

Properties

Name Type Description Notes
_id string The iteration ID [optional]
hypothesis string The expected outcome of this experiment
status string The status of the iteration: <code>not_started</code>, <code>running</code>, <code>stopped</code>
created_at int
started_at int [optional]
ended_at int [optional]
winning_treatment_id string The ID of the treatment chosen when the experiment stopped [optional]
winning_reason string The reason you stopped the experiment [optional]
can_reshuffle_traffic bool Whether the experiment may reassign traffic to different variations when the experiment audience changes (true) or must keep all traffic assigned to its initial variation (false). [optional]
flags array<string,\LaunchDarklyApi\Model\FlagRep> Details on the flag used in this experiment [optional]
primary_metric \LaunchDarklyApi\Model\DependentMetricOrMetricGroupRep [optional]
primary_single_metric \LaunchDarklyApi\Model\MetricV2Rep [optional]
primary_funnel \LaunchDarklyApi\Model\DependentMetricGroupRepWithMetrics [optional]
randomization_unit string The unit of randomization for this iteration [optional]
attributes string[] The available attribute filters for this iteration [optional]
treatments \LaunchDarklyApi\Model\TreatmentRep[] Details on the variations you are testing in the experiment [optional]
secondary_metrics \LaunchDarklyApi\Model\MetricV2Rep[] Deprecated, use <code>metrics</code> instead. Details on the secondary metrics for this experiment. [optional]
metrics \LaunchDarklyApi\Model\DependentMetricOrMetricGroupRep[] Details on the metrics for this experiment [optional]
layer_snapshot \LaunchDarklyApi\Model\LayerSnapshotRep [optional]

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