EdwardRaff
EdwardRaff
Do you know if this was a change in scikit learn recently?
>Changed in version 0.24: The default value of as_frame changed from False to 'auto' in 0.24. Yup, they changed it. I'll fix this soon - thank you for the catch!
Gah, 1.7.0 goofed a number of things I wrote before it was released. I'll close this when I revise the master copy of Chapter 2 (following order with editor -...
Can you post which version of PyTorch you get with your Colab session and this error? And does this error also occur for you in Chapter 4? The last few...
Ok, I think I know what is happening here. If you switch to 1.6.X it should go away. I'll get this fixed once I get to revisions of chapter 4...
Super appreciate your interest and help catching my stupidities. Just a heads up if will be way easier & faster for me if these pull requests stay focused to one-chapter....
I'm not sure annotations make sense, as some times the min/max values will be dependent upon the data. The RBF Kernel is actually a good example of that if you...
> but doesn't the RandomSearch need some sort of constraints? RandomSearch needs a distribution. Which may or may not just be uniform. The current framework always returns a distribution object...
Hmm. Are you more interested in finding the tunable parameters themselves, or just the algorithms that have some? Could be just a annotation with no code meaning. "@Tunable". Just lets...
Do you have a usecase where you wanted/need these annotations at runtime, or purely to make it easier to search through the docs?