Installing tensorflow_data_validation is causing error #tensorflow_data_validation

Question

I'm trying to install tensorflow_data_validation but it shows the below error.

it says that i need Python version 2.7 or 3.4+ but I'm using the version 3.10.9.

Also I have the 2.11.0 version of tensorflow

Does anybody know how to fix this issue?

Thanks in advice

#tensorflow_data_validation #tensorflow_data_validation

trying to install it in jupyter notebook installing it in cmd

I have tried to install it in cmd and jupyter notebook but it doesn't work in both ways

Answer 1

Firstly, the package only promises support for Python 3.8 and 3.9 under the most recent release (April 2023). Secondly, installation requires specific dependencies that may not all match simultaneously with your Python too.

I experienced the same issue under the Kaggle docker image which brings Python 3.10.

But I was able to install tensorflow-data-validation under Python 3.7 though, using their nightly packages. Here is the terminal screen of the installation done in a virtual environment:

(.test) (base) maciej.skorski@kaggle-cpu-maciej:~$ python --version
Python 3.7.12
(.test) (base) maciej.skorski@kaggle-cpu-maciej:~$ export TFX_DEPENDENCY_SELECTOR=NIGHTLY
(.test) (base) maciej.skorski@kaggle-cpu-maciej:~$ pip install --extra-index-url https://pypi-nightly.tensorflow.org/simple tensorflow-data-validation --quiet
WARNING: You are using pip version 20.1.1; however, version 23.1.2 is available.
You should consider upgrading via the '/home/maciej.skorski/.test/bin/python -m pip install --upgrade pip' command.
(.test) (base) maciej.skorski@kaggle-cpu-maciej:~$ pip show tensorflow-data-validation
Name: tensorflow-data-validation
Version: 1.12.0
Summary: A library for exploring and validating machine learning data.
Home-page: https://www.tensorflow.org/tfx/data_validation/get_started
Author: Google LLC
Author-email: [email protected]
License: Apache 2.0
Location: /home/maciej.skorski/.test/lib/python3.7/site-packages
Requires: tensorflow, six, pyfarmhash, joblib, apache-beam, absl-py, pyarrow, protobuf, tensorflow-metadata, tfx-bsl, pandas, numpy