GitHub PushEvent at 2014-07-24 21:02:58
Repository: clustering_school_data
Actor: perryhook
Payload: {"shas":[["4bf8f201f35594ff80952cec32b28f739bf9d816","24901d854e90f75ee2dec40ff42cbb6a5072eef1@gmail.com","starting a new school_k.py file, old one now called old_school_k.py","Perry Hook",false],["31e678b72d3741a8b1064b5ab893a1ffed51e6d9","24901d854e90f75ee2dec40ff42cbb6a5072eef1@gmail.com","moved old files to old_k_means directory","Perry Hook",false],["6256caa5ba403facfcd3cb9053468110623cd57d","24901d854e90f75ee2dec40ff42cbb6a5072eef1@gmail.com","basic test for _prep_k_data written.  _pret_k_data seems to be working","Perry Hook",false],["6b5384a90ae557ab5691da20f960bc8714cb281e","24901d854e90f75ee2dec40ff42cbb6a5072eef1@gmail.com","clean up junk in test_school_k_means","Perry Hook",false],["5d6f5f0712b6843e3ec3fe6fefecef6bbc47f75d","24901d854e90f75ee2dec40ff42cbb6a5072eef1@gmail.com","k_means cost function working.  Tests written, they pass.","Perry Hook",false],["09b07000f155b6d307fdd7fa17b7a2ad1206efae","24901d854e90f75ee2dec40ff42cbb6a5072eef1@gmail.com","cleanup debris in cost function","Perry Hook",false],["6628345eef45b20d1a7811236f23d00d120ace2d","24901d854e90f75ee2dec40ff42cbb6a5072eef1@gmail.com","idxLogical now created with list comprehension","Perry Hook",false],["eafc0d645d323e3e6bdd5f9e124aefbb1b7e7347","24901d854e90f75ee2dec40ff42cbb6a5072eef1@gmail.com","fixed k_means so that idx array it produces is an array of ints, not floats","Perry Hook",false],["f8172388d219d2dc86be7bfec30cc2038a6bbff9","24901d854e90f75ee2dec40ff42cbb6a5072eef1@gmail.com","school_k looks like it's working.  Returns ids of schools in each cluster.  Test written, passes.","Perry Hook",false],["53f8cbb57055934d8afe2a75af484ea25c27effa","24901d854e90f75ee2dec40ff42cbb6a5072eef1@gmail.com","refactored some confusing code to new function called build_clusters and added test for it","Perry Hook",false],["9c686522c42593d9ffea2f262966e7e11d41fe91","24901d854e90f75ee2dec40ff42cbb6a5072eef1@gmail.com","fixed broken test in test_closest_schools","Perry Hook",false],["88b2f833f7fa6572f216660e144b8fa742f6e7b2","24901d854e90f75ee2dec40ff42cbb6a5072eef1@gmail.com","moved NoSchoolWithIDError from old_school_k to closest_schools","Perry Hook",false],["dd2da5e72a2e469c5d9239a6d8b6a85343ed6a45","24901d854e90f75ee2dec40ff42cbb6a5072eef1@gmail.com","first refactoring in prep for parallel approach.  test changed to match, still passes.","Perry Hook",false],["0a52ba79e95d30ef3c8a3b389d1ecce8512a493f","24901d854e90f75ee2dec40ff42cbb6a5072eef1@gmail.com","wrote stub for parallel k_means","Perry Hook",false],["f70dd7d698267160fc4b8cfe22a7e4f3c057eed9","24901d854e90f75ee2dec40ff42cbb6a5072eef1@gmail.com","Merge branch 'master' of https://github.com/lfritts/clustering_school_data into k_means2\n\n;q","Perry Hook",false],["9f97b5238d3dd6e6ea578d4ed0dcfe11b50e55aa","24901d854e90f75ee2dec40ff42cbb6a5072eef1@gmail.com","removed float type conversion.  Not sure what it was for and it can only slow things down","Perry Hook",false],["398b1cbfcc91bfdb94b03eae1a58887089f29fa4","24901d854e90f75ee2dec40ff42cbb6a5072eef1@gmail.com","school_k now returns centroids in addition to clustered school ids.  tests updated to reflect this","Perry Hook",false],["c25c17c4c3387f4b261525e9a862654cf5c26126","24901d854e90f75ee2dec40ff42cbb6a5072eef1@gmail.com","Merge branch 'k_means2'\n\nq;q\r;q","Perry Hook",true],["667dba5e2f82642fdb702d638e21d65bbbe64f78","24901d854e90f75ee2dec40ff42cbb6a5072eef1@gmail.com","Merge branch 'master' of https://github.com/lfritts/clustering_school_data\n\n;q","Perry Hook",true]],"size":19,"ref":"refs/heads/master","head":"667dba5e2f82642fdb702d638e21d65bbbe64f78"}