We have trained an Extra Tree model for some regression task. Our model consists of 3 extra trees, each having 200 trees of depth 30. On top of the 3 extra trees, we use a ridge regression.
We train our model for several hours and pickle the trained model (the entire class object), for later use. However, the size of saved trained model is too big, about 140 GB!
Is there a way to reduce the size of the saved model? are there any configuration in pickle that could be helpful, or any alternative for pickle?
See Question&Answers more detail:
os 与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…