AnalysisConfigInput.md

AnalysisConfigInput

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.	[optional]
significance_threshold	str	The significance threshold for the frequentist results analysis approach.	[optional]
test_direction	str	The test sided direction for the frequentist results analysis approach.	[optional]
multiple_comparison_correction_method	str	The method to use for multiple comparison correction.	[optional]
multiple_comparison_correction_scope	str	The scope of the multiple comparison correction.	[optional]
sequential_testing_enabled	bool	Whether sequential testing is enabled for Frequentist analysis	[optional]

Example

from launchdarkly_api.models.analysis_config_input import AnalysisConfigInput

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

# convert the object into a dict
analysis_config_input_dict = analysis_config_input_instance.to_dict()
# create an instance of AnalysisConfigInput from a dict
analysis_config_input_from_dict = AnalysisConfigInput.from_dict(analysis_config_input_dict)

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