Closed Lion-Mod closed 3 years ago
Hi,
Yes definitely - it should be a model that's more suited than Logistic Regression. I only put that in because it's a fast demo, and for MNIST performs very well.
If you want to use any other model, simply make sure it conforms with the scikit learn fit / predict API. For example, keras or skorch neural nets do this.
Hope that makes sense!
Jan love the idea of superintendent! I was thinking surely there is a way to efficiently label and in came active learning to save the day. Then in a jupyter environment.... love it!
My question is potentially a basic one but I would love to have an answer.
I'm looking to build a cnn image classifier. The data I have isn't labelled but I am willing to manually label some data hence superintendent.
Why are we using LogisticRegression? Reading the docs I understand this is not the be all end all but is good.
So would it be easy to hotswap in say a CNN or efficientnet into the ClassLabeller?