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pip does not support tensorflow installation requirements #8
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Hi, which python version are you using? The library is tested against python 2.7 and 3.5 (I've just added this to the readme). Could you make sure that you're using either of those and try again? |
Hi Felix, I was using 3.7.6. As per your advice, I created a 3.5.3 environment and everything installed well, except I did get an error Now when I run the jupyter notebooks I do get an error
the first run each of them. But whenever I run it for a second time, your code runs smoothly. And it runs smoothly each time I run it after that. So it seems to be working now with python 3.5.3, despite some odd initialization error. I'm looking forward to playing around with your library. Case closed? What would it take to upgrade it to 3.7+ do you think? I might think about taking a stab at it. |
Hi Felix, So, it would be great to work with newer versions of all packages and Python (just to make it compatible with more user's environments). I've changed the "tf." inside functions.py (inside "safe_learning") with "tf.compat.v1". Other than that, I still stumbled upon some errors in the notebook (1d example). Could you help me resolve it? I'm getting an error in the 3rd cell: In this line:
How can the kernel be called with 2d variance? |
Hi Felix,
it would appear that pip no longer supports the version of tensorflow (<=12.0,>=1.6) that you are requiring. I did set pip to 18.1 and numpy to 1.14.5.
I get the message
I instead tried setting the requirement to tensorflow==1.13.0 just to see what happens. It installed fine.
I went to try and run 1d_example.ipynb and got an error from gpflow
I double checked that numpy 1.14.5 was being used and even forced it by adding the code
Any thoughts?
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