I am using the latest anaconda version and I don’t have python 3 installed independently besides what came with anaconda. Every time I try to run my notebook locally I kept running into different import errors. I might have missed something because I didn’t do part1, I took a different course. So what are the checklists of things you need to do to start part 2’s notebook correctly? I had to install xgboost, bcolz and now I am running into the issue with nltk importing standford library. I am doing everything locally btw because I have good enough graphic cards.
Hi @inkplay
You may/not be very familiar with python environment setup using anaconda, but well worth the effort getting the basics out of the way.
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We use anaconda to manage a environment specific to fastai. Be sure to check it out in google. The file ‘environment.yml’ contains all the packages that will be installed once you’ve started the process for creating a environment (also called ‘fastai’) for this project.
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Once the environment is setup, you need to activate it by using the command (in linux) ‘source activate fastai’.
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Then you must run jupyter lab from the same console
You might still need to download a lib. dependency here and there, but things like bcolz or xgboost should be available once the above is done. Let us know how this works for you.
I wrote a short tutorial (based on internet resources and my own experiences) on installing packages for fast.ai.
It should walk you through at least lesson 8 (that’s where I am now). Go take a look:
Install Python 3.6 + Keras+Tensorflow GPU 1.6 on Windows 10 (3/12/2018)
Hope it helps!
Neil