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improve TfidfVectorizer documentation #12811

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9a794df
Added example to sklearn.decomposition.DictionaryLearning
ThaliaBarrera Sep 29, 2018
8827a24
Added example to sklearn.decomposition.DictionaryLearning
ThaliaBarrera Sep 29, 2018
1d3211b
corrected n_components for example to sklearn.decomposition.Dictionar…
ThaliaBarrera Sep 29, 2018
9b413eb
corrected n_components and output for example to sklearn.decompositio…
ThaliaBarrera Sep 29, 2018
1e807e2
indented matrix lines, formatted long decimal
Dec 17, 2018
2925d75
fixed formatting of matrix items
Dec 17, 2018
00d067e
Merge branch 'master' of https://github.com/scikit-learn/scikit-learn…
Dec 17, 2018
115c155
Merge branch 'master' of https://github.com/scikit-learn/scikit-learn…
Dec 17, 2018
c3fff1b
added '# doctest: +ELLIPSIS' to example
Dec 17, 2018
bac76de
Merge branch 'master' of https://github.com/scikit-learn/scikit-learn…
Dec 18, 2018
9ddf6fb
added 2 spaces before comment on doctest
Dec 18, 2018
2b8f640
Merge branch 'master' of https://github.com/scikit-learn/scikit-learn…
Dec 18, 2018
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13 changes: 13 additions & 0 deletions sklearn/decomposition/dict_learning.py
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Original file line number Diff line number Diff line change
Expand Up @@ -717,6 +717,19 @@ def dict_learning_online(X, n_components=2, alpha=1, n_iter=100,
Number of iterations run. Returned only if `return_n_iter` is
set to `True`.

Examples
--------
>>> import numpy as np
>>> from sklearn.decomposition import DictionaryLearning
>>> X = np.array([[0., 0., 1.],
... [1., 0., 0.],
... [2., 2., 2.],
... [2., 5., 4.]])
>>> dico = DictionaryLearning(n_components=2, alpha=1, random_state=1)
>>> dico.fit(X).components_ # doctest: +ELLIPSIS
array([[-0.2981..., -0.7453..., -0.5962...],
[ 0.5773..., 0.5773..., 0.5773...]])

See also
--------
dict_learning
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