{"push_id":593948564,"size":2,"distinct_size":1,"ref":"refs/heads/dev","head":"c42183eb698d9940349732abb32121697e7b9d02","before":"a60f75021c7a4a41d64e61f0bff526ec5d395931","commits":[{"sha":"397841c24f47aadfbd842d1c8f394bc9896718ab","author":{"email":"23a6f85c442b4aec4b88f5f35f2eb85de1495556@gmail.com","name":"Gokula Krishnan"},"message":"Added support for parallel for loops [Issue #248]\n\nI have added support for parallel for loops [issue #248] \r\nThis created a dependency on the joblib library.\r\n\r\nI have some questions\r\n\r\n 1. What should be the optimal value for the n_jobs parameter? A very small value won't result in significant performance gains. On the other hand, a large value would cause high thread switching overheads. Do we have a default hard-coded value or do we decide based on the size of the model?\r\n\r\n2. Do we follow this approach to parallelize all the for loops or are there iterations which cannot be parallelized or doesn't need to be parallelized?","distinct":false,"url":"https://api.github.com/repos/gokul-uf/pgmpy/commits/397841c24f47aadfbd842d1c8f394bc9896718ab"},{"sha":"c42183eb698d9940349732abb32121697e7b9d02","author":{"email":"23a6f85c442b4aec4b88f5f35f2eb85de1495556@gmail.com","name":"Gokula Krishnan"},"message":"Merge pull request #1 from gokul-uf/gokul-uf-patch-1\n\nAdded support for parallel for loops [Issue #248]","distinct":true,"url":"https://api.github.com/repos/gokul-uf/pgmpy/commits/c42183eb698d9940349732abb32121697e7b9d02"}]}