fixes for new sklearn (#8373)

mne/fixes.py

@@ -325,7 +325,7 @@ def orth(A, rcond=None):  # noqa
         u, s, vh = linalg.svd(A, full_matrices=False)
         M, N = u.shape[0], vh.shape[1]
         if rcond is None:
-            rcond = numpy.finfo(s.dtype).eps * max(M, N)
+            rcond = np.finfo(s.dtype).eps * max(M, N)
         tol = np.amax(s) * rcond
         num = np.sum(s > tol, dtype=int)
         Q = u[:, :num]
@@ -334,6 +334,7 @@ def orth(A, rcond=None):  # noqa
 ###############################################################################
 # NumPy Generator (NumPy 1.17)
 
+
 def rng_uniform(rng):
     """Get the unform/randint from the rng."""
     # prefer Generator.integers, fall back to RandomState.randint
@@ -577,6 +578,17 @@ def __repr__(self):
     # conditionals that are not satisfied by our objects (e.g.,
     # ``if type(self).__module__.startswith('sklearn.')``.
 
+    def _get_tags(self):
+        collected_tags = {}
+        for base_class in reversed(inspect.getmro(self.__class__)):
+            if hasattr(base_class, '_more_tags'):
+                # need the if because mixins might not have _more_tags
+                # but might do redundant work in estimators
+                # (i.e. calling more tags on BaseEstimator multiple times)
+                more_tags = base_class._more_tags(self)
+                collected_tags.update(more_tags)
+        return collected_tags
+
 
 # newer sklearn deprecates importing from sklearn.metrics.scoring,
 # but older sklearn does not expose check_scoring in sklearn.metrics.
@@ -1065,6 +1077,7 @@ def _make_along_axis_idx(arr_shape, indices, axis):
 ###############################################################################
 # From nilearn
 
+
 def _crop_colorbar(cbar, cbar_vmin, cbar_vmax):
     """
     crop a colorbar to show from cbar_vmin to cbar_vmax