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After running the code here without errors on Python 2.7.5 on Windows 7:
http://scikit-learn.org/stable/auto_examples/applications/topics_extraction_with_nmf.html#example-applications-topics-extracti…
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Laplacian Eigenmaps is one of the few standard manifold / embedding methods that is still missing from sklearn.
It should be pretty easy to implement as it is quite similar to the spectral clustering …
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The class_weight parameter set different weights for misclassify that class. For example, in a 0/1 classification problem, if we set class_weight={0:0.95, 1:0.05}, then we can expect the classifier to…
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Some pipelinable scikit-learn estimators such as the vectorizers accept lists of string as input. When passing this kind input datastructure to the `GridSearchCV` object, the strings are actually unbo…
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Todays topic: Why is KMeans in sklearn to slow?
Answer: Fancy indexing in `_centers`.
According to my new friend [runsnakerun](http://www.vrplumber.com/programming/runsnakerun/) and my old friend [ke…
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I used scikit and It bothered me that in documentation wasn't written that predictive_probabilites are created only in boolean classification problems on some classifiers.
It also bothered me that i…
buma updated
12 years ago
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I found that the pickle file of sparse linearSVC became irrational larger after shifting the index of features.
I had trained a series of models using window of tokens in natural language processing. …
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I have used both svm.OneClassSVM() and svm.sparse.OneClassSVM() and they return always the following error:
NOTE: The Input matrix for fit() is Spase csr
> File
> "/usr/local/lib/python2.6/dist-pac…
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This is open for discussion but it seemed to me that this would be a good idea.
For example `FastICA` uses `unmixing_matrix_` which seems pretty specific.
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Migrated from [rt.perl.org#106538](https://rt-archive.perl.org/perl5/Ticket/Display.html?id=106538) (status was 'resolved')
Searchable as RT106538$
p5pRT updated
12 years ago