Commit Graph

1951 Commits

Author SHA1 Message Date
Arnaud Joly 0807e19dc2 MAINT deprecate fit_ovr, fit_ovo, fit_ecoc, predict_ovr, predict_ovo, predict_ecoc and predict_proba_ovr 2014-07-19 12:17:22 +02:00
Arnaud Joly bd1686b3a5 Merge pull request #2804 from arjoly/lrap
[MRG+1] Label ranking average precision
2014-07-19 12:05:48 +02:00
Hamzeh Alsalhi 9f45e3730f Modified sparse OvR to handle sparse target data
Defaulted label binarizer to set sparse_output=True when training ovr
classifiers, edited Label binarizer to allow for sparse binary column output
2014-07-18 12:10:50 +02:00
Arnaud Joly c19177196b DOC improve documentatino thanks to @vene and remove mention of relevant labels 2014-07-17 17:15:08 +02:00
Arnaud Joly bb93ede201 DOC remove confusing mention to mean average precision 2014-07-17 11:25:21 +02:00
Arnaud Joly 32c2692058 Typo 2014-07-17 11:21:28 +02:00
Arnaud Joly c3542bade9 DOC friendlier narrative documentation 2014-07-17 11:14:54 +02:00
Arnaud Joly 9d8d7748bc DOC FIX error + wording 2014-07-17 11:09:46 +02:00
Arnaud Joly 35c90186ce DOC write narrative doc for label ranking average precision 2014-07-17 11:09:46 +02:00
Andreas Mueller 5b247f90e4 move around examples for better structure. 2014-07-17 09:35:30 +02:00
Andreas Mueller 4e438a9aac [DOC] minor fixes 2014-07-16 10:27:31 +02:00
Fabian Pedregosa 4315e91339 DOC: expand documentation for logistic regression 2014-07-15 10:12:56 +02:00
Gael Varoquaux 5b5dba1487 DOC: fix classes not referenced in docs 2014-07-14 18:04:22 +02:00
Olivier Grisel 2eb1e98eef MAINT ensure that examples figures are displayed in the correct order 2014-07-14 15:47:17 +02:00
Fabian Pedregosa 851d914ccc DOC: add transpose and intercept to formula of logistic regression 2014-07-12 17:46:17 +02:00
Lars Buitinck b289d37e64 Merge branch 'pr/3358' 2014-07-12 16:20:54 +02:00
Lars Buitinck 7022f3ed58 DOC: typo, envelop → envelope 2014-07-12 16:19:54 +02:00
Steve Tjoa ec05d9866f fixed typo: diriclet -> dirichlet 2014-07-11 14:21:29 -07:00
Fabian Pedregosa 7d8eaf756f DOC: write cost function of logistic regression.
I feel it important to state clearly what is the cost function of the
model because:

    * Some might want to compare their implementation against this one,
    in which case it is important to know exactly what is the form of the
    cost function

    * Furthermore since the models are quite inconsistent in terms of
    notation for the regularization parameter: some models in this
    module penalize by 1/C, others by alpha and others by alpha/2
2014-07-11 14:26:34 +02:00
Fabian Pedregosa bd0f2d5619 Cosmetic: correct latex formula display 2014-07-11 14:10:16 +02:00
Jan Dlabal f5d9b5ba06 Fix labels of inliers vs outliers
At least based on what svm.OneClassSVM does in the example linked from this document, the description was wrong; labels actually assigned are 1/-1 for good/bad respectively, not 0/1.
2014-07-09 14:44:14 -07:00
Jan Dlabal 5b55f57f25 Fix grammar
it's should be its
2014-07-09 13:17:34 -07:00
Arnaud Joly ab1a784f0b FIX failing tests due to the change of the underlying sample generator 2014-07-08 12:21:55 +02:00
Lars Buitinck c176ced74d DOC double backticks for fixed-width (code) font
Fixes #3337. Also other minor fixes while I was at it.
2014-07-06 14:18:33 +02:00
Imran Haque 3b8dc3dc72 Update Sphinx docs for GaussianNB partial_fit 2014-07-04 12:27:07 -07:00
Daiki Aminaka 03a78d573d fix typo (on -> one) 2014-07-02 22:18:30 +09:00
Noel Dawe b9f6ac4038 min_weight_fraction_leaf: narrative doc update 2014-07-02 11:47:33 +02:00
Noel Dawe f62a6d1723 min_weight_fraction_leaf: narrative docs 2014-07-02 11:47:32 +02:00
Lars Buitinck 0a3a67777d DOC SVMs take string class labels as well as integers
http://stackoverflow.com/a/24512272/166749
2014-07-01 16:34:09 +02:00
Ignacio Rossi 4b79f220a4 Metadata information for unpickling models in future versions 2014-06-27 08:57:24 -03:00
Ignacio Rossi 78c0f61060 Simplified security and maintenance section 2014-06-27 08:57:24 -03:00
Ignacio Rossi 4c51809103 Remove trailing whitespace 2014-06-27 08:57:24 -03:00
Ignacio Rossi be315ed0a6 Move model persistence doc inside model selection section 2014-06-27 08:57:23 -03:00
Hamzeh Alsalhi 2bfca14c49 ENH sparse matrix support in label binarization 2014-06-25 16:15:19 -04:00
Olivier Grisel 916050a28b DOC hmm example has been removed 2014-06-25 11:36:46 +02:00
Olivier Grisel 42e9f5d9ad DOC fix bad formatting in decomposition.rst 2014-06-23 10:57:19 +02:00
Ronald Phlypo 59d6a11a57 bug fix and deprectation warning added to cross-validation 2014-06-21 21:39:51 +02:00
Valentin Haenel d580661554 DOC add the Random Kitchen Sink synonym to the RBFSampler section
This should make it easier for people to find this code if they search for the
terms 'random kitchen sink' and 'python'.
2014-06-19 15:59:36 +02:00
Lars Buitinck f458662faa DOC typo in ExtraTrees 2014-06-19 00:03:48 +02:00
Lars Buitinck 69b50e1206 DOC big fat warning about multithreaded BLAS 2014-06-18 22:08:42 +02:00
Gael Varoquaux a75f44cc15 Merge pull request #3280 from larsmans/remove-hmm-docs
[MRG] remove HMM documentation
2014-06-17 08:11:18 +02:00
Lars Buitinck 9772d9528e DOC remove HMM documentation 2014-06-16 21:44:52 +02:00
Lars Buitinck 5fa2f9cecf DOC: copyedit log loss, hint how multiclass generalizes binary
Changed notation to use y for true label, p for prediction,
to be more consistent with the rest of the docs.
2014-06-15 16:05:35 +02:00
Stefan van der Walt 2f07590dca DOC Correct definition of multiclass log loss 2014-06-15 16:05:35 +02:00
Andreas Mueller 67b8601314 Minor fixes in the docs 2014-06-07 16:38:53 +02:00
Lars Buitinck 7accbfa5d4 Merge pull request #3239 from larsmans/faster-poly-features
compute poly features directly and allow interaction features only
2014-06-05 18:00:58 +02:00
Lars Buitinck de42d692d8 ENH interaction_only in PolynomialFeatures 2014-06-05 17:46:07 +02:00
Joel Nothman fc0150d08d DOC/FIX Address @arjoly's comments 2014-06-05 11:20:36 +02:00
Joel Nothman 255895d951 DOC remove mention of sequence of sequences in Parameters sections 2014-06-05 11:20:36 +02:00
Joel Nothman 18c399e20a MAINT deprecate sequences of sequences support
* add warnings
 * provide alternative binarizer, sklearn.preprocessing.MultiLabelBinarizer
 * fix documentation
2014-06-05 11:20:35 +02:00