I found installing everything to get up and running with this to be effectively impossible; I think using tensorflow 1.15(and therefore requiring everyone to download Python <= 3.6) to have been a mistake. I've tried quite hard to get the environment running but eventually it always fails. A shame, this looked quite interesting.
Sorry to hear that! Has tensorflow been your main issue? It is only used in one of the example notebooks, so you can skip that requirement without too much of an impact.
If I can help with troubleshooting, send me an email at mlpoweredapplications@gmail.com
In the meantime I'll bump up the version in requirements.txt to solve the conflict.
Yes, it has - I didn't have any other problems, but I did notice you recommending the usage of `pip install -r requirements.txt`. I am by no means an expert in Python, but it is my understanding that using pip this way isn't recommended and you should instead invoke `python -m install -r requirements.txt` where python could be python36, python38, or just python. The same with virtualenv, `python -m venv ml_editor` appears to be the new way of doing this.
Interesting. I wasn't aware of that issue. It seems like after running activate, `pip` does point to the right location (`which pip` points to the virtualenv pip), but I'll look into it.
Unfortunately the changes you did didn't improve my problem, pip insisted again that a correct tensorflow version wasn't available. I was, however, able to download tb-nightly so I do at least have a version. Quite shocked tensorflow thrashes so intensely on installation - is that normal?
I'm glad you have found a workaround. Again, this is for an example script outside of the main narrative of the book, so the impact should be minimal.
If pip struggles to find a specific version, I'll usually remove the specific version requirement, and give whichever version pip finds a try by running `pip install tensorflow`
