{"push_id":1058553115,"size":51,"distinct_size":51,"ref":"refs/heads/inverse_func","head":"9c19b8044b7830d829ffcb088fa3bde9fe5283f3","before":"df1656ab7cf5a242c0446522bd27db1894ab3766","commits":[{"sha":"53713c95d5b8cb88bac6ae854fbe36a3768d1b4f","author":{"email":"61d3c2fefbc4f53549d9c33fafdbdc9cda666dbd@yandex.ru","name":"tracer0tong"},"message":"Fix for issue #6352","distinct":true,"url":"https://api.github.com/repos/ningchi/scikit-learn/commits/53713c95d5b8cb88bac6ae854fbe36a3768d1b4f"},{"sha":"65a2b8fe8ef0acdf24306a4e83eb88e69c515b96","author":{"email":"61d3c2fefbc4f53549d9c33fafdbdc9cda666dbd@yandex.ru","name":"tracer0tong"},"message":"Fixed codestyle","distinct":true,"url":"https://api.github.com/repos/ningchi/scikit-learn/commits/65a2b8fe8ef0acdf24306a4e83eb88e69c515b96"},{"sha":"ce11cbc3c5a4bd12bf922eef2ab7312aa965a18e","author":{"email":"58555a731fdd3a5f3e82162cdbbe5b4224abbb96@gmail.com","name":"hugobowne"},"message":"added MultiOneVsRest classifier & testing suite","distinct":true,"url":"https://api.github.com/repos/ningchi/scikit-learn/commits/ce11cbc3c5a4bd12bf922eef2ab7312aa965a18e"},{"sha":"e9492b7ec2d341d4bb8309b4116f33b78377295a","author":{"email":"2ec77c76526c221d165bf9716257f16d261fbc2a@gmail.com","name":"dsquareindia"},"message":"LabelBinarizer single label case now works for sparse and dense case","distinct":true,"url":"https://api.github.com/repos/ningchi/scikit-learn/commits/e9492b7ec2d341d4bb8309b4116f33b78377295a"},{"sha":"528533dab7bbf0a6ba6b646bae486b8639321da9","author":{"email":"8757c4a255384de9fc2175f17a84f948e7081d30@gmail.com","name":"MechCoder"},"message":"MAINT: Simplify n_features_to_select in RFECV","distinct":true,"url":"https://api.github.com/repos/ningchi/scikit-learn/commits/528533dab7bbf0a6ba6b646bae486b8639321da9"},{"sha":"945cb7ef536d42912e39cd6fa221b3076965bcc4","author":{"email":"1d904eba117284730df9947aa1b68a1227f95d56@nyu.edu","name":"Manoj Kumar"},"message":"Merge pull request #6221 from dsquareindia/LabelBinarizer_fix\n\n[MRG+1] LabelBinarizer single label case now works for sparse and dense case","distinct":true,"url":"https://api.github.com/repos/ningchi/scikit-learn/commits/945cb7ef536d42912e39cd6fa221b3076965bcc4"},{"sha":"54af09e6f13a0f54d987deaa77f689e498eef015","author":{"email":"c99ffa448e4d17fcc258a5f329e1fcf37e9c509c@gmail.com","name":"hlin117"},"message":"Fixing typos in logistic regression docs","distinct":true,"url":"https://api.github.com/repos/ningchi/scikit-learn/commits/54af09e6f13a0f54d987deaa77f689e498eef015"},{"sha":"146f461be33982d438aefb58b5ab27fd7723e4f4","author":{"email":"3a9d0a01dacea722109bb6662929c20c825c6bb4@m4x.org","name":"Alexandre Gramfort"},"message":"Merge pull request #6575 from hlin117/logregdocs\n\nFixing minor typos and inconsistencies in logistic regression docs","distinct":true,"url":"https://api.github.com/repos/ningchi/scikit-learn/commits/146f461be33982d438aefb58b5ab27fd7723e4f4"},{"sha":"07a6433e6196dccbc9f7cc2813ce646ba380dd33","author":{"email":"d055e687cc0e68d5918db04dbdeb1fc76fa76281@cl.cam.ac.uk","name":"nlathia"},"message":"Fix typo in html target","distinct":true,"url":"https://api.github.com/repos/ningchi/scikit-learn/commits/07a6433e6196dccbc9f7cc2813ce646ba380dd33"},{"sha":"b3c22194b1db90fb6c0effe697fe2ae4d65f7318","author":{"email":"a6ba1f71876751057f5c61daf2eb13e06e0eb36f@visor.udg.edu","name":"Guillaume Lemaitre"},"message":"Add the possibility to add prior to Gaussian Naive Bayes\n\nAdded the following things:\n* Test when the sum is not equal to one\n* Test the prediction in case of a large bias for one class\n* Test explicitely class_prior_\n* Move the function to update the class prior in the GaussianNB class\n* Remove the updating of the class prior before to actually compute the mean and variance\n\nAddress comments for PR #6180 - Correct the documentation\n\nAddress comment PR#6180 - Improve the class prior initialisation and updating\nWe modify the code to:\n* Initialisat self.class_prior_ with the different possibilities (class_prior given or not, fit_prior True or False)\n* Update self.class_prior_ only when no class_prior is given and than fit_prior is True\n\nAddress comments PR #6180 - Remove useless line\n\nFix the file according to PEP8 regulations\n\nUpdate the API to have only class_prior in GaussianNB\n\nCorrect prior fitting using samples and not class number\n\nChange name of priors and correct the warning with division by zero\n\nUpdate the API\n\nRemove functions which were called only once\n\nAdd additional test for part of the code which was not covered in GaussianNB\n\nCorrect doc formatting\n\nCorrect spelling","distinct":true,"url":"https://api.github.com/repos/ningchi/scikit-learn/commits/b3c22194b1db90fb6c0effe697fe2ae4d65f7318"},{"sha":"5a046c740d42fc0791156a4fc0ed7c7b614d6f62","author":{"email":"8757c4a255384de9fc2175f17a84f948e7081d30@gmail.com","name":"MechCoder"},"message":"Update whatsnew","distinct":true,"url":"https://api.github.com/repos/ningchi/scikit-learn/commits/5a046c740d42fc0791156a4fc0ed7c7b614d6f62"},{"sha":"5d92bd500a90b9e996298fedecb3553bf716ff90","author":{"email":"5006ddb99082542e4481424727deca455652ed3f@users.noreply.github.com","name":"Tom Dupré la Tour"},"message":"Merge pull request #6579 from nlathia/issue-6541\n\nError 404 in documentation section 2.7.1. Novelty Detection","distinct":true,"url":"https://api.github.com/repos/ningchi/scikit-learn/commits/5d92bd500a90b9e996298fedecb3553bf716ff90"},{"sha":"65b570b7b7d16dfa649281d5e8f071df84cd3855","author":{"email":"ba7cb8e54ea885c43c1600b1b02375147647c514@talkdirect.net","name":"lizsz"},"message":"Update scorer.py","distinct":true,"url":"https://api.github.com/repos/ningchi/scikit-learn/commits/65b570b7b7d16dfa649281d5e8f071df84cd3855"},{"sha":"56d625f83aa32edbae1fd8827865b91f07e37f74","author":{"email":"5006ddb99082542e4481424727deca455652ed3f@users.noreply.github.com","name":"Tom Dupré la Tour"},"message":"Merge pull request #6569 from MechCoder/minor\n\n[MRG+1] MAINT: Simplify n_features_to_select logic in RFECV","distinct":true,"url":"https://api.github.com/repos/ningchi/scikit-learn/commits/56d625f83aa32edbae1fd8827865b91f07e37f74"},{"sha":"22d7cd5cd07e301461d635aa4235c7d10135a4a9","author":{"email":"ebc5f35ae6cd98ffa05a65c4a81d2e96926356a3@gmail.com","name":"YenChenLin"},"message":"Make dump_svmlight_file support sparse y","distinct":true,"url":"https://api.github.com/repos/ningchi/scikit-learn/commits/22d7cd5cd07e301461d635aa4235c7d10135a4a9"},{"sha":"eed5fc5f0f84d1152604858837fa807e5716ea36","author":{"email":"5006ddb99082542e4481424727deca455652ed3f@users.noreply.github.com","name":"Tom Dupré la Tour"},"message":"Merge pull request #6395 from yenchenlin1994/make-dump_svmlight_file-support-sparse-y\n\n[MRG+1] Make dump_svmlight_file support sparse y (fixes #6301)","distinct":true,"url":"https://api.github.com/repos/ningchi/scikit-learn/commits/eed5fc5f0f84d1152604858837fa807e5716ea36"},{"sha":"9b7176dd9d033bd928ffb5f57ade5d01a6707a53","author":{"email":"490fa5d8809e44279bf2642c8e8e4f160e13a499@gmail.com","name":"Rémy Léone"},"message":"[DOC] Fix broken links","distinct":true,"url":"https://api.github.com/repos/ningchi/scikit-learn/commits/9b7176dd9d033bd928ffb5f57ade5d01a6707a53"},{"sha":"afc058fa309fb59cdc6a1d3569599a3c460baff5","author":{"email":"5006ddb99082542e4481424727deca455652ed3f@users.noreply.github.com","name":"Tom Dupré la Tour"},"message":"Merge pull request #6376 from tracer0tong/issue_6352\n\n[MRG+2] Fix for issue #6352","distinct":true,"url":"https://api.github.com/repos/ningchi/scikit-learn/commits/afc058fa309fb59cdc6a1d3569599a3c460baff5"},{"sha":"42d49c8c14828b5ff17fff47c8b195f7a5b78725","author":{"email":"ebc5f35ae6cd98ffa05a65c4a81d2e96926356a3@gmail.com","name":"YenChenLin"},"message":"Make assign_rows_csr support Cython fused types","distinct":true,"url":"https://api.github.com/repos/ningchi/scikit-learn/commits/42d49c8c14828b5ff17fff47c8b195f7a5b78725"},{"sha":"e5c366f77fa050dd66d1c06b6fd773b7e5506705","author":{"email":"c99ffa448e4d17fcc258a5f329e1fcf37e9c509c@gmail.com","name":"hlin117"},"message":"Merge PR #6037: copy_X in KernelPCA\n\nEnsuring consistent transforms for KernelPCA\n\nTaking @vene's changes into account, thanks!\n\nTaking @jakevdp's comment into account\n\nAdded more verbose documentation to kernel_pca.py\n\nSpecifying that X_fit_ will not be None. @jakevdp\n\nKernelPCA: Fixing more formatting of docstring\n\nAddressed @vene's documentation comments\n\nAddressing that dual_coef_ might not be present in model in docs. @vene","distinct":true,"url":"https://api.github.com/repos/ningchi/scikit-learn/commits/e5c366f77fa050dd66d1c06b6fd773b7e5506705"}]}