def apply_cfs(self, df):
y = df.Bugs.values
X = df.drop(labels=['Bugs'], axis=1)
X = X.values
selected_cols = CFS.cfs(X, y)
cols = df.columns[[selected_cols]].tolist()
cols.append('Bugs')
return df[cols], cols
def apply_cfs(df):
_cols = df.columns
y = df.Bugs.values
X = df.drop(labels=['Bugs'], axis=1)
X = X.values
selected_cols = CFS.cfs(X, y)
fss = []
cols = df.columns[[selected_cols]].tolist()
cols.append('Bugs')
for col in _cols:
if col in cols:
fss.append(1)
else:
fss.append(0)
return df[cols], cols, fss
def apply_cfs(self, df):
_cols = df.columns
y = df.Buggy.values
X = df.drop(labels=['Buggy'], axis=1)
X = X.values
selected_cols = CFS.cfs(X, y)
fss = []
imp_fss = []
cols = df.columns[[selected_cols]].tolist()
cols.append('Buggy')
for col in _cols:
_pos = cols.index(col) if col in cols else 0
if col in cols:
fss.append(1)
imp_fss.append(_pos)
else:
fss.append(0)
imp_fss.append(0)
return df[cols], cols, fss, imp_fss