{"shas":[["cdcc8eae2584b5f08091c44e1bb9ed0edc043342","d2cd5ec02270b996986a6b2233d18e369fd23ce0@uva.nl","Refactor MultinomialNB: separate prior estimation and feature counting","Lars Buitinck"],["765ce7db5fbba66c028e80a61f644e590bc97f28","78454b594c05948ee75aeda7de300404264e687b@gmail.com","Added different compute_cache functions: dot and euclidean distance.","Peter Prettenhofer"],["0f7e07483c328073175aac4c1fad653e6e8bfe10","d2cd5ec02270b996986a6b2233d18e369fd23ce0@uva.nl","Use unique from utils.fixes in naive_bayes\n\nRestores Numpy 1.2 compat.","Lars Buitinck"],["6bb2b379954e43308194501ea3814b52be848012","78454b594c05948ee75aeda7de300404264e687b@gmail.com","added SpectralClustering to document_clustering example.\nrm compute_cache from cython codebase.","Peter Prettenhofer"],["00d7de6833ddfb416aa35dfc972658c782ee937c","78454b594c05948ee75aeda7de300404264e687b@gmail.com","fix: random_state was set to None.","Peter Prettenhofer"],["82c4cc39a0ae8216b5ce0a8c728566852c51617e","78454b594c05948ee75aeda7de300404264e687b@gmail.com","use provided x_squared_norms instead of recompute (if none euclidean_distances will recompute).","Peter Prettenhofer"],["c3347086e9355b41a23abb6b28c9ba68635cccdf","78454b594c05948ee75aeda7de300404264e687b@gmail.com","reuse squared sample norms if possible (_calculate_labels_inertia).","Peter Prettenhofer"],["c9a73457979ee326401ecbf255bbd22668b120da","b682965d6a8eba053068a9d9edbcf3855b7d8bc5@normalesup.org","Python2.5 compatibility","Gael Varoquaux"],["1af80eac98c6100d108a8c4b514237123eef7b62","2debdaedc015a28b6d296a878ea9501beb58cbd4@ensta.org","Merge pull request #207 from pprett/mbkm-fix\n\nFixes for MiniBatchKMeans","Olivier Grisel"],["f228fdb3eab7e6d2200b4bc81e8385ec1a433d25","d2cd5ec02270b996986a6b2233d18e369fd23ce0@uva.nl","Fix bug in MultinomialNB: output transposed\n\nQuick fix: .T before return. Needs a proper fix.","Lars Buitinck"],["11b0160de7749a69c825ae3a662538dde819402b","d2cd5ec02270b996986a6b2233d18e369fd23ce0@uva.nl","Replace loop in MultinomialNB._count with dot product + pep8\n\nSpeedup in fit on document classification example:\n\n                Before      After\n4 classes       0.033s      0.013s\n20 classes      0.401s      0.342s","Lars Buitinck"],["f120d2e142ad4add44c49fda7a7f6541e8f794e2","b682965d6a8eba053068a9d9edbcf3855b7d8bc5@normalesup.org","BUG: explicit imports in doctests\n\nWhen the doctests are run by scikits.learn.test(), they require an\nexplicit import of the module-level symbols.","Gael varoquaux"],["02e673b7ee30790fc55e2a84fd41aef2a075f772","d2cd5ec02270b996986a6b2233d18e369fd23ce0@uva.nl","BUG: binary classification failed in MultinomialNB, +regression test","Lars Buitinck"],["69f78dba199b84edb11355eec732cd520706189c","d2cd5ec02270b996986a6b2233d18e369fd23ce0@uva.nl","Fix 404 from broken URL in release log","Lars Buitinck"],["1e2d35cfe9d5e08783f7c8e73a8cce8a50cdac1e","d2cd5ec02270b996986a6b2233d18e369fd23ce0@uva.nl","ENH: fit_transform on TfidfTransformer","Lars Buitinck"],["857930f270cb933b57e16b7f1bc6f6df89c26cc1","d2cd5ec02270b996986a6b2233d18e369fd23ce0@uva.nl","add C parameter to LinearSVC docstring","Lars Buitinck"],["7e71ad9e4de578d25e98d414ddd34f6c462c05de","d2cd5ec02270b996986a6b2233d18e369fd23ce0@uva.nl","Fix pprett's website URL (<> caused it to be a relative URL)","Lars Buitinck"],["02b697ad7bc058f266cb97a3ee8ee7022b679833","78454b594c05948ee75aeda7de300404264e687b@gmail.com","Use euclidean distance.","Peter Prettenhofer"],["2598d39c5c51a254db87a2b2a27255a09e35e0bd","78454b594c05948ee75aeda7de300404264e687b@gmail.com","Merge remote branch 'upstream/master' into sparse-mbkm","Peter Prettenhofer"],["2393d673c7d720f64122689f4940dcb477492cf1","78454b594c05948ee75aeda7de300404264e687b@gmail.com","dense and sparse seed differences: change order of shuffling X and init centroids to ensure consistant results.","Peter Prettenhofer"]],"ref":"refs/heads/sparse-mbkm","size":27,"head":"8bb2fc2471d7b3c5589b3abe2f24282d99dbc356","push_id":33619558}