Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

How to save&load model under do not keep model in memory? #66

Open
oAzv opened this issue May 7, 2019 · 1 comment
Open

How to save&load model under do not keep model in memory? #66

oAzv opened this issue May 7, 2019 · 1 comment

Comments

@oAzv
Copy link

oAzv commented May 7, 2019

When I keep model in memory, model can be saved and loaded.

BUT, with large training data, the RAM is run out quickly.

And, as same env, set keep memory set_keep_model_in_mem(False), the saved model only have header information without actually model content.

So, how to fix it?

@oAzv
Copy link
Author

oAzv commented May 7, 2019

At present, I can find same matter in https://stackoverflow.com/questions/55020860/how-to-predict-using-a-gcforest-model-when-i-did-not-keep-the-model-in-memory, but does not resove this problem.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant