TreatmentResultRep.md

LaunchDarklyApi::TreatmentResultRep

Properties

Name	Type	Description	Notes
treatment_id	String	The ID of the treatment	[optional]
treatment_name	String	The name of the treatment	[optional]
mean	Float	The average value of the variation in this sample. It doesn’t capture the uncertainty in the measurement, so it should not be the only measurement you use to make decisions.	[optional]
data_mean	Float	The mean of the data, with no priors effecting the result.	[optional]
data_std_dev	Float	The standard deviation of the data, with no priors effecting the result.	[optional]
credible_interval	CredibleIntervalRep		[optional]
p_best	Float	The likelihood that this variation has the biggest effect on the primary metric. The variation with the highest probability is likely the best of the variations you're testing	[optional]
relative_differences	Array<RelativeDifferenceRep>	Estimates of the relative difference between this treatment's mean and the mean of each other treatment	[optional]
units	Integer	The number of units exposed to this treatment that have event values, including those that are configured to default to 0	[optional]
traffic	Integer	The number of units exposed to this treatment.	[optional]
event_values_sum	Float	The sum of the event values for the units exposed to this treatment.	[optional]
distribution	Distribution		[optional]
correlation	Float	The outcome-covariate correlation	[optional]
standard_deviation_ratio	Float	The ratio of the outcome SD to covariate SD	[optional]
covariate_imbalance	Float	The imbalance between the covariate mean for the arm and the covariate mean for the experiment	[optional]
variance_reduction	Float	The reduction in variance resulting from CUPED	[optional]
model	String	The model used to calculate the results. Parameters specific to this model will be defined under the field under the same name	[optional]
bayesian_normal	BayesianNormalStatsRep		[optional]
bayesian_beta	BayesianBetaBinomialStatsRep		[optional]

Example

require 'launchdarkly_api'

instance = LaunchDarklyApi::TreatmentResultRep.new(
  treatment_id: 92b8354e-360e-4d67-8f13-fa6a46ca8077,
  treatment_name: variation 25% off,
  mean: 0.5432525951557093,
  data_mean: 2.464845,
  data_std_dev: 1.0E-7,
  credible_interval: null,
  p_best: 0.6083,
  relative_differences: [{"fromTreatmentId":"92b8354e-360e-4d67-8f13-fa6a46ca8077","lower":-0.13708601934659803,"upper":0.42655970355712425}],
  units: 76,
  traffic: 332,
  event_values_sum: 6234,
  distribution: null,
  correlation: null,
  standard_deviation_ratio: null,
  covariate_imbalance: null,
  variance_reduction: 0.1,
  model: bayesianNormal,
  bayesian_normal: null,
  bayesian_beta: null
)