pip installaton failed on mac and Ubuntu

[gaohongwei]

Short Question Description

I have tried to install on mac and ubuntu. Both are failed. Ubuntu 22.04.4 LTS Python 3.10 (Add #1260: Support for Python 3.10)

System Details (if relevant)

• Ubuntu PRETTY_NAME="Ubuntu 22.04.4 LTS" NAME="Ubuntu" VERSION_ID="22.04" VERSION="22.04.4 LTS (Jammy Jellyfish)"

• Python 3.10.12

• pip install auto-sklearn==0.14.7 or 0.15.0

• Error on Mac

• Preparing metadata (pyproject.toml) ... error error: subprocess-exited-with-error

  × Preparing metadata (pyproject.toml) did not run successfully. │ exit code: 1 ╰─> [34 lines of output]

• Error on Ubuntu

• performance hint: sklearn/neighbors/_binary_tree.pxi:539:5: Exception check on 'dual_swap' will always require the GIL to be acquired. Possible solutions:

  1. Declare 'dual_swap' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions.

  2. Use an 'int' return type on 'dual_swap' to allow an error code to be returned.

     Error compiling Cython file:

     ...

     determine number of levels in the tree, and from this

       # the number of nodes in the tree.  This results in leaf nodes
       # with numbers of points between leaf_size and 2 * leaf_size
       self.n_levels = int(
           np.log2(fmax(1, (n_samples - 1) / self.leaf_size)) + 1)
       self.n_nodes = (2 ** self.n_levels) - 1
                                           ^

     ---

     File "/usr/lib/python3/dist-packages/pip/_vendor/pep517/in_process/_in_process.py", line 363, in [ 1/53] Cythonizing sklearn/__check_build/_check_build.pyx [ 2/53] Cythonizing sklearn/_isotonic.pyx [ 3/53] Cythonizing sklearn/cluster/_dbscan_inner.pyx [ 4/53] Cythonizing sklearn/cluster/_hierarchical_fast.pyx [ 5/53] Cythonizing sklearn/cluster/_k_means_elkan.pyx [ 6/53] Cythonizing sklearn/cluster/_k_means_fast.pyx [ 7/53] Cythonizing sklearn/cluster/_k_means_lloyd.pyx [ 8/53] Cythonizing sklearn/datasets/_svmlight_format_fast.pyx [ 9/53] Cythonizing sklearn/decomposition/_cdnmf_fast.pyx [10/53] Cythonizing sklearn/decomposition/_online_lda_fast.pyx

[ImadSaddik]

Hi @gaohongwei. I managed to solve the issue!

I created a new Conda environment with Python 3.7 and ran:

pip install auto-sklearn

At the end, I got a message saying Successfully built auto-sklearn.