{"push_id":2375907094,"size":1,"distinct_size":1,"ref":"refs/heads/master","head":"3812dfeef879edf17c691e25b5363a68298a0513","before":"59b1fe43fc0927d8abc2901711da4a788f04ecd3","commits":[{"sha":"3812dfeef879edf17c691e25b5363a68298a0513","author":{"name":"David Box","email":"59e1c6e3a51ce54e9d10665598be8cc087fa5cb0@gmail.com"},"message":"feat: Notebook makes multi class predictions based on planet data\n\nThe planet.py file adds the function defining the f2 metric (based on sklearn fbeta_score) and a get_data function to load data from ~/data/planet. The Notebook is completed by adding the ability to make multiclass predictions and achieves a 93% f2 score.","distinct":true,"url":"https://api.github.com/repos/vault-42/fastai-lesson-recreations/commits/3812dfeef879edf17c691e25b5363a68298a0513"}]}
{"actor":{"display_login":"vault-42"}}