@@ -133,7 +133,6 @@ def __init__(self, base_estimators=None, contamination=0.1,
133133 target_dim_frac = 0.5 , jl_method = 'basic' , bps_flag = True ,
134134 approx_clf_list = None , approx_ng_clf_list = None ,
135135 approx_flag_global = True , approx_clf = None ,
136- cost_forecast_loc_fit = None , cost_forecast_loc_pred = None ,
137136 verbose = False ):
138137 super (SUOD , self ).__init__ (contamination = contamination )
139138 self .base_estimators = base_estimators
@@ -150,8 +149,6 @@ def __init__(self, base_estimators=None, contamination=0.1,
150149 self .approx_ng_clf_list = approx_ng_clf_list
151150 self .approx_flag_global = approx_flag_global
152151 self .approx_clf = approx_clf
153- self .cost_forecast_loc_fit = cost_forecast_loc_fit
154- self .cost_forecast_loc_pred = cost_forecast_loc_pred
155152 self .verbose = verbose
156153
157154 # by default we will provide a group of performing models
@@ -179,8 +176,6 @@ def __init__(self, base_estimators=None, contamination=0.1,
179176 approx_flag_global = self .approx_flag_global ,
180177 approx_clf = self .approx_clf ,
181178 bps_flag = self .bps_flag ,
182- cost_forecast_loc_fit = self .cost_forecast_loc_fit ,
183- cost_forecast_loc_pred = self .cost_forecast_loc_pred ,
184179 verbose = self .verbose ,
185180 )
186181
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