GitHub PushEvent at 2014-08-05 08:41:06
Repository: scikit-learn
Actor: kazemakase
Payload: {"shas":[["96895ebd39974dbc106aab70153a3377e3bc6c92","183a3ad7823cfc0c71c56485249746ecaafdefdf@gmail.com","Added utility to skip tests if running on Travis","Kyle Kastner",false],["f5d9b5ba06f1bfec0e2955713dd273655c177afe","e8d54f10fe4b755195a05afed08b586b53960221@stanford.edu","Fix labels of inliers vs outliers\n\nAt 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.","Jan Dlabal",false],["cddf9a49f56dbdf98c5d379430e33681720a5427","2debdaedc015a28b6d296a878ea9501beb58cbd4@ensta.org","MAINT skip joblib multiprocessing tests on travis","Olivier Grisel",false],["48e8cd6c71a3f9f14697657c00d6fa360368082e","2debdaedc015a28b6d296a878ea9501beb58cbd4@ensta.org","Merge pull request #3361 from ogrisel/travis-no-multiprocessing-joblib\n\n[MRG] skip joblib multiprocessing tests on travis","Olivier Grisel",false],["178d0b6efdb0e357859070e3b7889ca008e14437","2debdaedc015a28b6d296a878ea9501beb58cbd4@ensta.org","FIX assert_array_almost_equal for windows tests","Olivier Grisel",false],["bd0f2d5619d391c17500498ba70d51c4de78ccc4","4a0a19218e082a343a1b17e5333409af9d98f0f5@bianp.net","Cosmetic: correct latex formula display","Fabian Pedregosa",false],["7d8eaf756f38af1f7a53c93ed2cadde3f45dcb24","4a0a19218e082a343a1b17e5333409af9d98f0f5@bianp.net","DOC: write cost function of logistic regression.\n\nI feel it important to state clearly what is the cost function of the\nmodel because:\n\n    * Some might want to compare their implementation against this one,\n    in which case it is important to know exactly what is the form of the\n    cost function\n\n    * Furthermore since the models are quite inconsistent in terms of\n    notation for the regularization parameter: some models in this\n    module penalize by 1/C, others by alpha and others by alpha/2","Fabian Pedregosa",false],["75a586642380d645733a2354749dbea1aeb32423","66468173c2b1642fcdd5bbb3e6b0f5ea20554ded@mblondel.org","Merge pull request #3365 from fabianp/master\n\nDOC: write cost function of logistic regression","Mathieu Blondel",false],["de6979397ee7ba660c395fe521fc34448c2e1dd3","8757c4a255384de9fc2175f17a84f948e7081d30@gmail.com","Link my name to my wordpress blog","MechCoder",false],["1fe371ea40ea3c4bd77b584fcd243c215f5222ee","0e30eb480a0eea36ecf9bb9fcb6e957ee4ccbd3c@gmail.com","Merge pull request #3366 from MechCoder/link-to-blog\n\nFIX: My name was linked to the wrong github account","Arnaud Joly",false],["ec05d9866f6fe1e9542373ddd07bd8e3d04295f4","c4736b4eb467e4b751af3b204ce9f7b4549b0516@gmail.com","fixed typo: diriclet -> dirichlet","Steve Tjoa",false],["e33b3b8593344813d0675291d9d07a33cfde0b77","3a9d0a01dacea722109bb6662929c20c825c6bb4@m4x.org","Merge pull request #3368 from stevetjoa/typo-diriclet\n\nfixed typo: diriclet -> dirichlet","Alexandre Gramfort",false],["948bd777d15206d79765be97be89684d2fd7ee09","43408d575bcd6fe52c89e25fd75b9fe1635af1f6@gmail.com","DOC updated installation documentation\n\nAdded Canopy and Anaconda.\nRemoved EPD.","Nelle Varoquaux",false],["ec7cad314b820e093d6a4f520fa061447f2aaae2","b682965d6a8eba053068a9d9edbcf3855b7d8bc5@normalesup.org","Merge pull request #3369 from NelleV/install_doc\n\nDOC updated installation documentation","Gael Varoquaux",false],["7022f3ed58aac076fb9bdbb5f4e32b26442a7bc8","c06369c63fedd49b5eafe364a3685d7e13830273@gmail.com","DOC: typo, envelop → envelope","Lars Buitinck",false],["b289d37e6472b78b7727f9417785cc56bf5d8938","c06369c63fedd49b5eafe364a3685d7e13830273@gmail.com","Merge branch 'pr/3358'","Lars Buitinck",false],["c73c9a1c8b1e079a53df0f756ecff77af5b74aac","e0d325f566670e5a3700c0336f3c52c40ef2138a@gmail.com","MAINT Re-order argument to put deprecated one at the end","Arnaud Joly",false],["851d914cccbae5c24c8d15609877dc22bb30afa4","4a0a19218e082a343a1b17e5333409af9d98f0f5@bianp.net","DOC: add transpose and intercept to formula of logistic regression","Fabian Pedregosa",false],["c19aa38f486eb9bd8806ac2831943855425e6911","546d56d73bed33d9d010631390b88c86c2797af9@gmail.com","DOC adding return type and improving module doc","Ilambharathi Kanniah",false],["5972f5a907ea0f123ab6b9b5ef3970c68bc3c9ae","546d56d73bed33d9d010631390b88c86c2797af9@gmail.com","DOC return types in datasets.lfw","Ilambharathi Kanniah",false]],"size":382,"ref":"refs/heads/slda","head":"d2865dead55dbd40a1249c3fbe6106cd5563cf17"}