Awesome and thank you for the response, I got a little confused because
"def fit(self, X, y, sample_weight=None):" i didn’t realize that was just the data.frame
I will be googling hasattr() and looking at the source code here shortly.
I do have two questions for you if you don’t mind.
1.) i am currently taking the DL course that you have created and now that i found this I want to take the ML and DL course. Do you recommend taking them side by side or independently
2.) Also does the fast.ai library need to be run on an instance or can it be used similar to any other package? I would like to be able to use the fast.ai libraries functionality on class projects with out having to be on a server and when i try to import fast.ai i get the following: (I have no issues when i am using it on AWS)
ModuleNotFoundError Traceback (most recent call last)
2 # This file contains all the main external libs we’ll use
----> 3 from fastai.imports import *
4 from fastai.transforms import *
5 from fastai.conv_learner import *
ModuleNotFoundError: No module named ‘fastai’
I have googled this and everything on google is from the forums or related to your course or all mention be apart of an instance and if that is the case it’s okay I will just have to pay the money to run the instance. I am currently in transition to Paperspace as AWS bill was very expensive.
I am so glad that I ended up finding this course from the forums. I am attending LSU and going through their analytic program and I am using your DL course as an independent study, being able to learn practical and cutting edge techniques that can be used right away is priceless. With the added bonus of then going in and understanding how they work is a learning method i am loving.
Again thank you for all your help,