def __init__()

in econml/iv/dr/_dr.py [0:0]


    def __init__(self, *,
                 model_y_xw="auto",
                 model_t_xw="auto",
                 model_z_xw="auto",
                 model_t_xwz="auto",
                 model_tz_xw="auto",
                 flexible_model_effect="auto",
                 prel_cate_approach="driv",
                 prel_cv=1,
                 prel_opt_reweighted=True,
                 projection=False,
                 featurizer=None,
                 n_estimators=1000,
                 max_depth=None,
                 min_samples_split=5,
                 min_samples_leaf=5,
                 min_weight_fraction_leaf=0.,
                 max_features="auto",
                 min_impurity_decrease=0.,
                 max_samples=.45,
                 min_balancedness_tol=.45,
                 honest=True,
                 subforest_size=4,
                 n_jobs=-1,
                 verbose=0,
                 cov_clip=1e-3,
                 opt_reweighted=False,
                 discrete_instrument=False,
                 discrete_treatment=False,
                 categories='auto',
                 cv=2,
                 mc_iters=None,
                 mc_agg='mean',
                 random_state=None):
        self.n_estimators = n_estimators
        self.max_depth = max_depth
        self.min_samples_split = min_samples_split
        self.min_samples_leaf = min_samples_leaf
        self.min_weight_fraction_leaf = min_weight_fraction_leaf
        self.max_features = max_features
        self.min_impurity_decrease = min_impurity_decrease
        self.max_samples = max_samples
        self.min_balancedness_tol = min_balancedness_tol
        self.honest = honest
        self.subforest_size = subforest_size
        self.n_jobs = n_jobs
        self.verbose = verbose
        super().__init__(model_y_xw=model_y_xw,
                         model_t_xw=model_t_xw,
                         model_z_xw=model_z_xw,
                         model_t_xwz=model_t_xwz,
                         model_tz_xw=model_tz_xw,
                         flexible_model_effect=flexible_model_effect,
                         model_final=None,
                         prel_cate_approach=prel_cate_approach,
                         prel_cv=prel_cv,
                         prel_opt_reweighted=prel_opt_reweighted,
                         projection=projection,
                         featurizer=featurizer,
                         fit_cate_intercept=False,
                         cov_clip=cov_clip,
                         opt_reweighted=opt_reweighted,
                         discrete_instrument=discrete_instrument,
                         discrete_treatment=discrete_treatment,
                         categories=categories,
                         cv=cv,
                         mc_iters=mc_iters,
                         mc_agg=mc_agg,
                         random_state=random_state)