(self,df)
| 243 | return np.array(fscores) |
| 244 | |
| 245 | def _exclude_include_features(self,df): |
| 246 | if not self.included is None: |
| 247 | df = df[list(set(self.included+[self.target]).intersection(df.columns))] |
| 248 | if not self.excluded is None: |
| 249 | df = df.drop(set(self.excluded).intersection(df.columns), axis=1) |
| 250 | return df |
| 251 | |
| 252 | |
| 253 | def fit(self,X,y=None): |
no outgoing calls
no test coverage detected