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error while installing "keras-rl2" #28
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Let me know if my latest push resolves this. It worked for me, and should support all of the class modules. |
Thanks for the good work. I attempted to modify my "tensorflow" environment in Anaconda by uninstalling my keras 2.2.4, and the previous tensorflow version (2.0 beta), and then installing the new packages. I dont know if this is the way its supposed to be done, but here is what i did in the anaconda prompt:
This executed without error. after this, I tried one of the notebooks that imported tensorflow. Executing the line previously, tensorflow was imported correctly, and I could run the notebooks |
This will be fun until TensorFlow 2.0 is official and everything has stabilized to that. I updated the install instructions a bit, I tried several installs from scratch and I believe this is the best set of instructions that gets both TF/Keras 2.0 and Keras Reinforcement working together. I also tested successfully on Mac/Windows. Below is the complete script that I've run several times. I would suggest installing from a new environment. Note that my env is named wustl2. Also the second line changes to "activate wustl2" if on Windows. I tried in both. GitHub is also up to date for this. Let me know if this helps any.
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It works as advertised.... today that is, lets see about tomorrow. You are doing absolutely awesome work. Its a pleasure to read and learn from. |
You are most welcome! Let me know if you run into anything else. I just need to code 2 more modules for the class and then I plan to completely rerun and retest everything in a few weeks just before class starts. It would be really nice if Google could release TF 2.0 prior to Aug 26 before I start the class, but we will see! |
Following error results from executing the list of pip install dependencies:
ERROR: tensorflow 2.0.0b1 has requirement tb-nightly<1.14.0a20190604,>=1.14.0a20190603, but you'll have tb-nightly 1.15.0a20190720 which is incompatible.
installing instead "keras-2.2.4", which was the case of previous committ, solves the error. However, will that break things later in the tutorial?
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