h2o-py/h2o/estimators/estimator_base.py
def get_params(self, deep=True):
        """
        Obtain parameters for this estimator.

        Used primarily for sklearn Pipelines and sklearn grid search.

        :param deep: If True, return parameters of all sub-objects that are estimators.

        :returns: A dict of parameters
        """
        out = dict()
        for key, value in self.parms.items():
            if deep and isinstance(value, H2OEstimator):
                deep_items = list(value.get_params().items())
                out.update((key + "__" + k, val) for k, val in deep_items)
            out[key] = value
        return out
def get_params(self, deep=True):
        out = dict()
        for key, value in self.parms.items():
            if deep and isinstance(value, H2OEstimator):
                deep_items = list(value.get_params().items())
                out.update((key + "__" + k, val) for k, val in deep_items)
            out[key] = value
        return out
def get_params ( self , deep = True ) : out = dict ( ) for key , value in self . parms . items ( ) : if deep and isinstance ( value , H2OEstimator ) : deep_items = list ( value . get_params ( ) . items ( ) ) out . update ( ( key + "__" + k , val ) for k , val in deep_items ) out [ key ] = value return out
Obtain parameters for this estimator.

        Used primarily for sklearn Pipelines and sklearn grid search.

        :param deep: If True, return parameters of all sub-objects that are estimators.

        :returns: A dict of parameters
Obtain parameters for this estimator .