def __init__(self, runscontainer, marginal_threshold=0.05):
    'Wrapper for parameter_importance to save the importance-object/ extract the results. We want to show the\n        top X most important parameter-fanova-plots.\n\n        Parameters\n        ----------\n        runscontainer: RunsContainer\n            contains all important information about the configurator runs\n        marginal_threshold: float\n            parameter/s must be at least this important to be mentioned\n        '
    super().__init__(runscontainer)
    self.marginal_threshold = marginal_threshold
    self.parameter_importance('fanova')
Wrapper for parameter_importance to save the importance-object/ extract the results. We want to show the
top X most important parameter-fanova-plots.

Parameters
----------
runscontainer: RunsContainer
    contains all important information about the configurator runs
marginal_threshold: float
    parameter/s must be at least this important to be mentioned
def __init__(self, runscontainer, marginal_threshold=0.05):
    'Wrapper for parameter_importance to save the importance-object/ extract the results. We want to show the\n        top X most important parameter-fanova-plots.\n\n        Parameters\n        ----------\n        runscontainer: RunsContainer\n            contains all important information about the configurator runs\n        marginal_threshold: float\n            parameter/s must be at least this important to be mentioned\n        '
    super().__init__(runscontainer)
    self.marginal_threshold = marginal_threshold
    self.parameter_importance('fanova')