IterationInput.md

IterationInput

Properties

Name	Type	Description	Notes
hypothesis	string	The expected outcome of this experiment	[default to undefined]
canReshuffleTraffic	boolean	Whether to allow the experiment to reassign traffic to different variations when you increase or decrease the traffic in your experiment audience (true) or keep all traffic assigned to its initial variation (false). Defaults to true.	[optional] [default to undefined]
metrics	Array<MetricInput>		[default to undefined]
primarySingleMetricKey	string	The key of the primary metric for this experiment. Either <code>primarySingleMetricKey</code> or <code>primaryFunnelKey</code> must be present.	[optional] [default to undefined]
primaryFunnelKey	string	The key of the primary funnel group for this experiment. Either <code>primarySingleMetricKey</code> or <code>primaryFunnelKey</code> must be present.	[optional] [default to undefined]
treatments	Array<TreatmentInput>		[default to undefined]
flags	{ [key: string]: FlagInput; }		[default to undefined]
randomizationUnit	string	The unit of randomization for this iteration. Defaults to user.	[optional] [default to undefined]
attributes	Array<string>	The attributes that this iteration&#39;s results can be sliced by	[optional] [default to undefined]

Example

import { IterationInput } from 'launchdarkly-api-typescript';

const instance: IterationInput = {
    hypothesis,
    canReshuffleTraffic,
    metrics,
    primarySingleMetricKey,
    primaryFunnelKey,
    treatments,
    flags,
    randomizationUnit,
    attributes,
};

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