automl / automl/Auto-PyTorch

Can't install on Google Colab

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Description

Please, how can Auto-PyTorch be installed on Google Colab?
I tought it was related to Swig and already tried installing (`!pip install swig==3.0.12`)
But error keeps the same when trying to install Auto-PyTorch:
`!pip install autopytorch --verbose`

(...)
```
File "/tmp/pip-install-s9zzj7zb/scikit-learn_f1999172b8064fe2976e8b3e4e0cc343/sklearn/_build_utils/__init__.py", line 70, in cythonize_extensions
config.ext_modules = cythonize(
File "/tmp/pip-build-env-swfwaxz_/overlay/local/lib/python3.10/dist-packages/Cython/Build/Dependencies.py", line 1125, in cythonize
result.get(99999) # seconds
File "/usr/lib/python3.10/multiprocessing/pool.py", line 774, in get
raise self._value
Cython.Compiler.Errors.CompileError: sklearn/ensemble/_hist_gradient_boosting/splitting.pyx
error: subprocess-exited-with-error

× Preparing metadata (pyproject.toml) did not run successfully.
│ exit code: 1
╰─> See above for output.

note: This error originates from a subprocess, and is likely not a problem with pip.
full command: /usr/bin/python3 /usr/local/lib/python3.10/dist-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py prepare_metadata_for_build_wheel /tmp/tmpoinhxvvk
cwd: /tmp/pip-install-s9zzj7zb/scikit-learn_f1999172b8064fe2976e8b3e4e0cc343
Preparing metadata (pyproject.toml) ... error
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.
```

Contributor guide

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Research direction

Reproduce `pip install autopytorch --verbose` in Google Colab and inspect the scikit-learn build failure involving Cython and `sklearn/ensemble/_hist_gradient_boosting/splitting.pyx`. Done means establishing a verified installation path or documenting that the current package dependencies cannot install in the reported Colab environment.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch, scikit-learn
Domain
machine-learning
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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