Azure / fast_retraining

Show how to perform fast retraining with LightGBM in different business cases
MIT License
54 stars 15 forks source link

Try gpu_use_dp=false in GPU parameters to see if improves the time #57

Closed miguelgfierro closed 7 years ago

miguelgfierro commented 7 years ago

rounds=200, full dataset, double precission: "lgbm": { "performance": { "AUC": 0.842578378921684, "Accuracy": 0.7667173145300099, "F1": 0.7355360689058548, "Precision": 0.7961293571204864, "Recall": 0.6835139246819957 }, "test_time": 43.04262933897553, "train_time": 686.1979219189961 }

gpu full dataset num_rounds=200, single precision: "lgbm": { "performance": { "AUC": 0.8426748987428655, "Accuracy": 0.7667467751094083, "F1": 0.7355888744118525, "Precision": 0.7961184571278634, "Recall": 0.6836131672978735 }, "test_time": 45.97168072301429, "train_time": 562.9683960059774 }