np.NINF was removed in the NumPy 2.0 release. Use -np.inf instead

[tam-nguyenminh]

Hello,

I got this error while trying to use SequentialFeatureSelector.
Could you please help take a look in the underlying codes?
Thanks a lot

sfs = SFS(LogisticRegression(), k_features=5, #number of features to select forward = True, #rolling forward selection floating=False, # No floating selection scoring='accuracy', verbose=5, cv=5 ).fit(X_train,y_train)

---

AttributeError Traceback (most recent call last)
Cell In[214], line 8
1 sfs = SFS(LogisticRegression(),
2 k_features=5, #number of features to select
3 forward = True, #rolling forward selection
4 # floating=False, # No floating selection
5 scoring='accuracy',
6 verbose=5,
7 cv=5
----> 8 ).fit(X_train,y_train)

File c:\Users\84393\miniconda3\envs\venv_ds\Lib\site-packages\mlxtend\feature_selection\sequential_feature_selector.py:650, in SequentialFeatureSelector.fit(self, X, y, groups, **fit_params)
648 else:
649 self.fitted = True # the completion of sequential selection process.
--> 650 self.finalize_fit()
652 return self

File c:\Users\84393\miniconda3\envs\venv_ds\Lib\site-packages\mlxtend\feature_selection\sequential_feature_selector.py:655, in SequentialFeatureSelector.finalize_fit(self)
654 def finalize_fit(self):
--> 655 max_score = np.NINF
656 for k in self.subsets_:
657 if (
658 k >= self.min_k
659 and k <= self.max_k
660 and self.subsets_[k]["avg_score"] > max_score
661 ):

File c:\Users\84393\miniconda3\envs\venv_ds\Lib\site-packages\numpy_init_.py:411, in getattr(attr)
408 raise AttributeError(former_attrs[attr])
410 if attr in expired_attributes:
--> 411 raise AttributeError(
412 f"np.{attr} was removed in the NumPy 2.0 release. "
413 f"{expired_attributes[attr]}"
414 )
416 if attr == "chararray":
417 warnings.warn(
418 "np.chararray is deprecated and will be removed from "
419 "the main namespace in the future. Use an array with a string "
420 "or bytes dtype instead.", DeprecationWarning, stacklevel=2)

AttributeError: np.NINF was removed in the NumPy 2.0 release. Use -np.inf instead.

[Ontheroad123]

modofied 655 "max_score = np.NINF" to "max_score = np.inf"

[shobhit120801]

modofied 655 "max_score = np.NINF" to "max_score = np.inf"

do we have to change it manually ?