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AnalysisConfigRep

Properties

Name Type Description Notes
bayesian_threshold str The threshold for the Probability to Beat Baseline (PBBL) and Probability to Be Best (PBB) comparisons for the Bayesian results analysis approach. Value should be between 0-100 inclusive. [optional]
significance_threshold str The significance threshold for the frequentist results analysis approach. Value should be between 0.0-1.0 inclusive. [optional]
test_direction str The test sided direction for the frequentist results analysis approach. [optional]
multiple_comparison_correction_method str The method for multiple comparison correction. [optional]
multiple_comparison_correction_scope str The scope for multiple comparison correction. [optional]
sequential_testing_enabled bool Whether sequential testing is enabled for Frequentist analysis [optional]

Example

from launchdarkly_api.models.analysis_config_rep import AnalysisConfigRep

# TODO update the JSON string below
json = "{}"
# create an instance of AnalysisConfigRep from a JSON string
analysis_config_rep_instance = AnalysisConfigRep.from_json(json)
# print the JSON string representation of the object
print(AnalysisConfigRep.to_json())

# convert the object into a dict
analysis_config_rep_dict = analysis_config_rep_instance.to_dict()
# create an instance of AnalysisConfigRep from a dict
analysis_config_rep_from_dict = AnalysisConfigRep.from_dict(analysis_config_rep_dict)

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