Library versions of Python Dependencies
Opened this issue · 1 comments
mostafaelhoushi commented
I am trying to run the test cases, but ran into errors like:
pandas.util.version.InvalidVersion: Invalid version: '0.14.0.RAY'
Reinstalling an older version of pandas probably solved this error but lead to another error:
pyarrow.lib.ArrowTypeError: Did not pass numpy.dtype object
I am wondering if it is possible to provide the versions of the Python libraries in the setup.py
script to solve these dependency issues:
Lines 9 to 25 in 1889c57
mostafaelhoushi commented
After playing around with different library versions, these combinations seem to work:
- numpy==1.19.5
- pandas==0.25.2
- ray==0.7.5
- tensorflow==2.1.0
- tensorflow-cpu==2.1.0
The full log of my pip freeze
command is here.