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Random subsampling for feature selection #47 #650

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Random subsampling for feature selection #47 #650

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2dc146e
15th attempt
xliu833 Dec 21, 2019
0b079f7
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xliu833 Dec 21, 2019
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15th attempt
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@xliu833
xliu833 committed Dec 21, 2019
commit 2dc146ea520c20f2a4c355a348afcc0a743f6006
3 changes: 2 additions & 1 deletion mlxtend/feature_selection/sequential_feature_selector.py
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Expand Up @@ -382,7 +382,8 @@ def fit(self, X, y, custom_feature_names=None, groups=None, **fit_params):

else:
select_in_range = False
k_to_select = self.k_features
k_to_select = int(len(X[1])**.5) # random subsample of sqrt(k_features) dimensions
np.take(X, np.random.permutation(X.shape[1]), axis = 1, out = X) # shuffle matrix horizontally

orig_set = set(range(X_.shape[1]))
n_features = X_.shape[1]
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