1111
1212
1313def dataframe_to_xy (dataf , event_column , time_column ):
14-
1514 e = dataf .loc [:, event_column ]
1615 t = dataf .loc [:, time_column ]
1716 return dataf .drop ([event_column , time_column ], axis = 1 ), convert_to_structured (t , e )
@@ -65,7 +64,6 @@ def predict(self):
6564 pass
6665
6766 def test (self ):
68-
6967 self .predict ()
7068 try :
7169 c_index = concordance_index (
@@ -172,7 +170,6 @@ def __init__(
172170 )
173171
174172 def train (self ):
175-
176173 start = time .time ()
177174 params = {"objective" : self .objective }
178175
@@ -226,14 +223,12 @@ def __init__(
226223 self .objective = objective
227224
228225 def train (self ):
229-
230226 start = time .time ()
231227
232228 if self .model .__class__ .__name__ not in [
233229 "XGBSEKaplanTree" ,
234230 "XGBSEBootstrapEstimator" ,
235231 ]:
236-
237232 self .model .fit (
238233 self .X_train ,
239234 self .y_train ,
@@ -244,7 +239,6 @@ def train(self):
244239 )
245240
246241 else :
247-
248242 self .model .fit (self .X_train , self .y_train , time_bins = self .time_bins )
249243
250244 self .training_time = time .time () - start
@@ -284,7 +278,6 @@ def __init__(
284278 )
285279
286280 def train (self ):
287-
288281 T = self .train_dataset [self .time_column ]
289282 E = self .train_dataset [self .event_column ]
290283
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