Is there a way to calling fit() multiple times on the same model and stay the previous fitted stuff like the partial_fit() in some sklearn classifiers.

[BovenPeng]

Summary

Is there a way to calling fit() multiple times on the same model and stay the previous fitted stuff like the partial_fit() in some sklearn classifiers.

Motivation

For some reason, I want to fit some new training data on the old model but keep the old stuff that I have trained before.
So I am wondering if there is a way to implement it?
I have checked the documentation before and not found what I want.

References

Stackoverflow: What does calling fit() multiple times on the same model do?

[BovenPeng]

I find the init_model parameter can be used for the aim I want.