Closed lzg65 closed 3 years ago
Hi @lzg65, Chantilly was created to be compatible with creme. The models in creme all have a fit_one
method. This method updates the internal state of the model, for example the weights of a linear regression or a logistic regression. In the case of creme's linear regression, the fit_one
method evaluates the gradient, updates the weights of the model with the optimizer associated with the model and returns self
. So, you just have to upload the cream model via the API and it will update it.
Hi @lzg65, Chantilly was created to be compatible with creme. The models in creme all have a
fit_one
method. This method updates the internal state of the model, for example the weights of a linear regression or a logistic regression. In the case of creme's linear regression, thefit_one
method evaluates the gradient, updates the weights of the model with the optimizer associated with the model and returnsself
. So, you just have to upload the cream model via the API and it will update it.
Got it, I looked into the example you mentioned in creme, thanks for your quick explanation.
Thanks for your great work, I was attracted by the incremental learning property of your work. You use the fit_one function to update the deployed model given the new data, but I did not find the actual method you use to update the model. The fit_one function only has one line to return self, maybe I didn't find the correct position. Can you please share your thoughts on this?