Update sklearn requirement to 0.20

eli5/sklearn/permutation_importance.py

@@ -196,7 +196,7 @@ def fit(self, X, y, groups=None, **fit_params):
             self.estimator_ = clone(self.estimator)
             self.estimator_.fit(X, y, **fit_params)
 
-        X = check_array(X, force_all_finite=False)
+        X = check_array(X, force_all_finite='allow-nan')
 
         if self.cv not in (None, "prefit"):
             si = self._cv_scores_importances(X, y, groups=groups, **fit_params)

requirements.txt

@@ -1,7 +1,7 @@
 numpy >= 1.9.0
 scipy
 singledispatch >= 3.4.0.3
-scikit-learn >= 0.18
+scikit-learn >= 0.20
 attrs > 16.0.0
 jinja2
 pip >= 8.1

setup.py

@@ -36,7 +36,7 @@ def get_long_description():
         'numpy >= 1.9.0',
         'scipy',
         'six',
-        'scikit-learn >= 0.18',
+        'scikit-learn >= 0.20',
         'graphviz',
         'tabulate>=0.7.7',
     ],

tox.ini

@@ -6,7 +6,7 @@
 ; https://github.com/Microsoft/LightGBM/tree/master/python-package#lightgbm-python-package.
 
 [tox]
-envlist = py27,py34,py35,py35-nodeps,mypy,py35-extra,py27-extra,py36,py36-extra,py36-legacy,py37-nodeps
+envlist = py27,py34,py35,py35-nodeps,mypy,py35-extra,py27-extra,py36,py36-extra,py37-nodeps
 
 [base]
 deps=