tmoravec / thematic Goto Github PK

Hello
I have some problems working with your nice python files and I think if you may or can help me with this "k" error.

c:\Python36\osint\topic-analyst>py -3.6 process.py islamiromania.pkl
C:\Python36\lib\site-packages\gensim\utils.py:855: UserWarning: detected Windows
; aliasing chunkize to chunkize_serial
warnings.warn("detected Windows; aliasing chunkize to chunkize_serial")
Slow version of gensim.models.doc2vec is being used
Sun Mar 19 12:00:00 2017 Loading data.
Sun Mar 19 12:00:02 2017 Starting to vectorize.
Sun Mar 19 12:00:07 2017 min_df: 3
Sun Mar 19 12:00:07 2017 Tfidf ignores 21030 terms.
Sun Mar 19 12:00:07 2017 Tfidf matrix shape: (79, 212)
Sun Mar 19 12:00:07 2017 Generating 200 LSA components and normalizing
Traceback (most recent call last):
File "process.py", line 492, in
main()
File "process.py", line 487, in main
text_clustering(raw_data, pagename)
File "process.py", line 402, in text_clustering
X = get_features_lsa(tf)
File "process.py", line 349, in get_features_lsa
X = lsa.fit_transform(tf)
File "C:\Python36\lib\site-packages\sklearn\pipeline.py", line 301, in fit_tra
nsform
Xt, fit_params = self._fit(X, y, **fit_params)
File "C:\Python36\lib\site-packages\sklearn\pipeline.py", line 234, in _fit
Xt = transform.fit_transform(Xt, y, **fit_params_steps[name])
File "C:\Python36\lib\site-packages\sklearn\decomposition\truncated_svd.py", l
ine 159, in fit_transform
U, Sigma, VT = svds(X, k=self.n_components, tol=self.tol)
File "C:\Python36\lib\site-packages\scipy\sparse\linalg\eigen\arpack\arpack.py
", line 1714, in svds
raise ValueError("k must be between 1 and min(A.shape), k=%d" % k)
ValueError: k must be between 1 and min(A.shape), k=200

Thank you!