f2f0caef27
DOC: Tweak the cross-val lasso path example
2011-06-18 09:33:14 +02:00
f035f4e85c
Merge branch 'master' into bernoulli-naive-bayes
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Conflicts:
scikits/learn/naive_bayes.py
2011-06-10 12:25:09 +02:00
d0750d05fa
Merge pull request #198 from amueller/fastICA_transposed
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Merge amueller's branch on consistent shape handling for the ICA module.
2011-06-06 05:26:25 -07:00
559496b97f
Merge pull request #203 from amueller/docs_fix_again
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rst fix
2011-06-06 02:47:51 -07:00
ea59ba41f4
Explicit cmap in swissroll example.
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For some reason it was gray in the auto-generated doc.
2011-06-06 11:58:43 +02:00
dea2a3b706
rst fix
2011-06-06 11:44:35 +02:00
7880af76c9
Optimize BernoulliNB + improve docstring + add to doc-class example
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Still two orders of magnitude slower than MultinomialNB because of loop in
_joint_log_likelihood.
2011-06-06 11:37:41 +02:00
d7499b864a
fix message in document classification example
2011-06-06 10:55:32 +02:00
3f0f9702a1
pep8 and starting with X in right shape
2011-06-04 19:29:09 +02:00
c3b98c1581
typo
2011-06-04 19:11:36 +02:00
74b762e965
print docstring in examples
2011-06-04 19:11:33 +02:00
c5bb2395a2
mention LDA in docstring
2011-06-04 19:11:27 +02:00
b26393fe9c
typo
2011-06-04 19:11:20 +02:00
6f85683576
pep8
2011-06-04 19:00:30 +02:00
4762cfc335
fixed bug
2011-06-04 19:00:18 +02:00
386e420d23
I don't really understand this, but it makes the error go away.
2011-06-04 16:18:01 +02:00
2d988c08e3
typo
2011-06-04 16:17:36 +02:00
daf64539ad
Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
2011-06-04 16:08:22 +02:00
42e6ae5582
Adjusted examples to new ICA interface
2011-06-04 16:07:48 +02:00
603ecdfa42
ENH: style fixes and better use of the scikit-learn API in ROC example
2011-06-04 05:49:38 +02:00
6444a43dfb
Cosmetics.
2011-06-03 18:43:12 +09:00
d2a1339d11
Add LDA to the handwritten digit 2d-projection example.
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Although it's supervised, LDA doesn't look better than PCA. Maybe a bug
in LDA...
2011-06-03 18:22:17 +09:00
dc6b31c5eb
Make kernels consistent with SVM and add sigmoid kernel.
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This fixes issue #190 .
2011-06-03 17:14:45 +09:00
ca3e787343
ENH: split figures for better reusability and readability
2011-05-31 10:52:53 +02:00
a0d6fbb96f
cosmit
2011-05-31 02:20:39 +02:00
8d37dcfbf4
use scikit-learn QR compat alias
2011-05-31 02:14:53 +02:00
1861307bfe
add random projection and PCA to digits manifold example
2011-05-31 02:08:23 +02:00
a40922a87d
Merge pull request #153 from fabianp/manifold
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Initial implementation of Locally Linear Embedding.
2011-05-30 01:54:10 -07:00
d7e64beb01
Merge pull request #184 from larsmans/amitibo-naive-bayes
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Multinomial Naive Bayes + rename GNB to GaussianNB
2011-05-25 11:12:13 -07:00
e04d4f8e73
Covariance errors computation API changes.
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Mean Squared Error, Sum of Squared Error are controversial notions in
a covariances comparison context, so it is better not to use those terms
and let the user decide which type of error he exactly wants.
For this purpose, keywords have been introduced so that the user can choose:
- the type of norm he wants to use,
- if a scaling by the number of features must be applied,
- if he wants the square of the error norm or just the error norm
2011-05-25 17:29:03 +02:00
bd8c8febb7
reformulate MultinomialNB as linear classifier
2011-05-23 22:31:15 +02:00
943439d4b0
rename MultinomialNB params, rename GNB GaussianNB
2011-05-23 16:21:44 +02:00
6f4021cef9
fix naive bayes docs and example + credit mblondel + vanity
2011-05-22 20:22:08 +02:00
48efee254d
Modify the method computing errors on covariances (<cov_object>.error)
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The user can now choose either Mean Squared Error, Root Mean Squared
Error or Sum of Squared Errors through a keyword.
Others types of error may be implemented depending on future needs.
2011-05-22 16:38:32 +02:00
bf23ccd8d9
Merge branch 'master' of https://github.com/amitibo/scikit-learn into amitibo-naive-bayes
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Conflicts:
scikits/learn/tests/test_naive_bayes.py
2011-05-20 13:29:51 +02:00
e219a7cd39
Merge branch 'master' of github.com:scikit-learn/scikit-learn into manifold
2011-05-20 09:34:11 +02:00
6ec33ff899
FIX : removing useless seed fix in plot_mean_shift
2011-05-18 22:20:36 -04:00
b2818993c3
ENH : using make_blobs in plot_mini_batch_kmeans
2011-05-18 22:18:40 -04:00
3e0aeac85e
ENH : using make_blobs in plot_mean_shift
2011-05-18 22:16:09 -04:00
2ab954c6f0
ENH : using make_blobs in plot_affinity_propagation
2011-05-18 22:14:35 -04:00
fd9919de3a
ENH: better / simpler handling of shuffling in MiniBatchKMeans
2011-05-18 02:16:38 +02:00
cd9e727492
DOC: cosmit in MiniBatchKMeans docs
2011-05-17 22:57:11 +02:00
5b397103c8
Merge remote branch 'gael/batchKMeans' into batchKMeans
2011-05-17 21:38:58 +01:00
0cb216b2ac
merge with master
2011-05-17 21:10:38 +01:00
08340af0d4
DOC: Prettify MiniBatchKmean example
2011-05-17 21:50:16 +02:00
582fa8248c
[MiniBatchKMeans] Minor modifications on the examples
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Deleted redondant examples
2011-05-17 19:52:38 +01:00
a79579e01c
Merge branch 'master' into clustering-metrics
2011-05-17 08:42:59 +02:00
85fc047764
FIX: bad import
2011-05-16 13:58:08 +02:00
24ca47e278
Compatibility Ubuntu 11.04 (with matplotlib 0.99.3)
2011-05-16 07:26:32 +02:00
90b32d489d
COSMIT: Remove unused import
2011-05-15 15:55:48 +02:00
Gael varoquaux