Bug in OPLSValidator

[juenhint]

The validator scripts are not working on any datasets, seems to be an issue with the fit method and the subsequent LabelBinarizer call. This is the error when running the example code:

TypeError                                 Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_19292/3997691689.py in <module>
     10 X = df[[c for c in df.columns if c!='classification']]
     11 
---> 12 validator = OPLSValidator(k=-1).fit(X, target)
     13 
     14 Z = validator.opls_.transform(X)

C:\devel\anaconda3\lib\site-packages\pyopls\validation.py in fit(self, X, y, n_components, cv, pos_label, random_state, n_jobs, verbose, pre_dispatch)
    452 
    453         X = check_array(X, dtype=float, copy=True)
--> 454         y = self._check_target(y, pos_label)
    455 
    456         if not n_components:

C:\devel\anaconda3\lib\site-packages\pyopls\validation.py in _check_target(self, y, pos_label)
    223                              'Try binarizing with sklearn.preprocessing.LabelBinarizer.')
    224         if self.is_discrimination(y):
--> 225             y = self._process_binary_target(y, pos_label)
    226         else:
    227             self.binarizer_ = None

C:\devel\anaconda3\lib\site-packages\pyopls\validation.py in _process_binary_target(self, y, pos_label)
    211 
    212     def _process_binary_target(self, y, pos_label=None):
--> 213         self.binarizer_ = LabelBinarizer(-1, 1)
    214         self.binarizer_.fit(y)
    215         if pos_label is not None and self.binarizer_.transform([pos_label])[0] == -1:

TypeError: __init__() takes 1 positional argument but 3 were give
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