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Can't get the full package to work #1144
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Hey Taylor! I ran pip install 'dataprofiler[ml]', which should've gotten the job done if I'm not mistaken. I believe that my error lies in how it automatically installed versions of tensorflow (2.16.1) and keras (3.3.3) that are not suitable for the full package of DataProfiler. I am also using python version 3.12.0. What python version is most suitable for running this package, as well as versions for tensorflow and keras? Thanks! |
what version of dataprofiler as you running? It should not be installing 2.16.1 (ref) if you are on 0.11.0 |
I got it working. I was using a python version that was incompatible with dataprofiler, but after I switched to python 3.9, I got it working with suitable versions of tensorflow and keras. Thanks! |
Nice! what version were you on prior? |
I was using python 3.12.0, and whenever I installed the package, it would install tensorflow 2.16.1 and keras 3.3.3. The suitable versions of tensorflow and keras were not compatible with that version of python I don't think, so I just had to switch to a slightly older version |
Ah got it! Yeah we are hoping to add 3.11 in this next release of the library to our GHA checks and tox runs. Glad its working for you, @DylanVig! |
I am trying to install the full package rather than the slimmer package, and it says that when I do pip install 'DataProfiler[ml]', all of the requirements are satisfied, but when I run a script that I wrote, I get this as part of the result:
/Users/dylanvig/venv3/lib/python3.12/site-packages/dataprofiler/profilers/profile_builder.py:757: RuntimeWarning:
!!! WARNING Partial Profiler Failure !!!
Profiling Type: data_labeler
Exception: TypeError
Message: Metric.add_weight() got multiple values for argument 'shape'
For labeler errors, try installing the extra ml requirements via:
$ pip install dataprofiler[ml] --user
profiler_utils.warn_on_profile("data_labeler", e)
INFO:DataProfiler.profilers.profile_builder: Finding the Null values in the columns...
Do you have any idea what is going on? Thanks!
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