note that inverse transform is applied in reverse order

rbruna · Feb 20, 2017 · a0202ce · a0202ce
1 parent 25af46f
commit a0202ce
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diff --git a/examples/decoding/plot_linear_model_patterns.py b/examples/decoding/plot_linear_model_patterns.py
@@ -107,6 +107,8 @@
 
 # Extract and plot patterns and filters
 for name in ('patterns_', 'filters_'):
+    # The `inverse_transform` parameter will call this method on any estimator
+    # contained in the pipeline, in reverse order.
     coef = get_coef(clf, name, inverse_transform=True)
     evoked = EvokedArray(coef, epochs.info, tmin=epochs.tmin)
     evoked.plot_topomap(title='EEG %s' % name[:-1])
diff --git a/mne/decoding/base.py b/mne/decoding/base.py
@@ -838,6 +838,8 @@ def get_coef(estimator, attr='filters_', inverse_transform=False):
                 raise ValueError('inverse_transform can only be applied onto '
                                  'pipeline estimators.')
 
+            # The inverse_transform parameter will call this method on any
+            # estimator contained in the pipeline, in reverse order.
             for inverse_func in _get_inverse_funcs(estimator)[::-1]:
                 coef = inverse_func([coef])[0]
         return coef