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This repository has been archived by the owner on Jul 10, 2021. It is now read-only.
I am running an early stage webservice like application.
What I aim to do is getting a variable (an array) and predict upon that, using an trained and saved (pickled) classifier.
However, everytime predict_proba() is called, it needs to reload its model parameters and prints those parameters to the screen. As this needs to be done more than 40 times, it slows down the request to the webservice significantly. So is there a way to turn that off?
I am thankful in advance, and happy to share additional difficulties if something is unclear.
Cheerio,
Jaquim
The text was updated successfully, but these errors were encountered:
Hi,
I am running an early stage webservice like application.
What I aim to do is getting a variable (an array) and predict upon that, using an trained and saved (pickled) classifier.
However, everytime predict_proba() is called, it needs to reload its model parameters and prints those parameters to the screen. As this needs to be done more than 40 times, it slows down the request to the webservice significantly. So is there a way to turn that off?
I am thankful in advance, and happy to share additional difficulties if something is unclear.
Cheerio,
Jaquim
The text was updated successfully, but these errors were encountered: