Trusted-AI / Trusted-AI/AIX360
aix360 installation GCP and on Windows
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 1.8k
- Forks
- 327
- Avg merge
- 1h 13m
- Merged PRs (30d)
- 1
Description
I am trying to install aix360 in VM google cloud and also try to install it on anaconda enviornment (on windows) and both times it gives me the same error.
I am following the same steps which I found in the documentation, but still facing the same error. If someone installed this toolkit already can you please help me setting up the enviornment for this toolkit.
Below is the error log:
ERROR: Command errored out with exit status 1:
command: /home/mansoor_working/anaconda3/bin/python -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'
/tmp/pip-install-zt5ypyrs/cvxpy/setup.py'"'"'; file='"'"'/tmp/pip-install-zt5ypyrs/cvxpy/setup.py'"'"';f=getatt
r(tokenize, '"'"'open'"'"', open)(file);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(comp
ile(code, file, '"'"'exec'"'"'))' bdist_wheel -d /tmp/pip-wheel-uy3pz4nb --python-tag cp37
cwd: /tmp/pip-install-zt5ypyrs/cvxpy/
Complete output (369 lines):
running bdist_wheel
running build
running build_py
creating build
creating build/lib.linux-x86_64-3.7
creating build/lib.linux-x86_64-3.7/cvxpy
copying cvxpy/init.py -> build/lib.linux-x86_64-3.7/cvxpy
copying cvxpy/error.py -> build/lib.linux-x86_64-3.7/cvxpy
copying cvxpy/settings.py -> build/lib.linux-x86_64-3.7/cvxpy
creating build/lib.linux-x86_64-3.7/cvxpy/problems
copying cvxpy/problems/init.py -> build/lib.linux-x86_64-3.7/cvxpy/problems
copying cvxpy/problems/objective.py -> build/lib.linux-x86_64-3.7/cvxpy/problems
copying cvxpy/problems/xpress_problem.py -> build/lib.linux-x86_64-3.7/cvxpy/problems
copying cvxpy/problems/problem.py -> build/lib.linux-x86_64-3.7/cvxpy/problems
copying cvxpy/problems/iterative.py -> build/lib.linux-x86_64-3.7/cvxpy/problems
creating build/lib.linux-x86_64-3.7/cvxpy/tests
copying cvxpy/tests/test_objectives.py -> build/lib.linux-x86_64-3.7/cvxpy/tests
copying cvxpy/tests/test_expressions.py -> build/lib.linux-x86_64-3.7/cvxpy/tests
copying cvxpy/tests/test_curvature.py -> build/lib.linux-x86_64-3.7/cvxpy/tests
copying cvxpy/tests/test_quadratic.py -> build/lib.linux-x86_64-3.7/cvxpy/tests
copying cvxpy/tests/test_dgp.py -> build/lib.linux-x86_64-3.7/cvxpy/tests
copying cvxpy/tests/test_solvers.py -> build/lib.linux-x86_64-3.7/cvxpy/tests
copying cvxpy/tests/init.py -> build/lib.linux-x86_64-3.7/cvxpy/tests
copying cvxpy/tests/test_monotonicity.py -> build/lib.linux-x86_64-3.7/cvxpy/tests
copying cvxpy/tests/test_quad_form.py -> build/lib.linux-x86_64-3.7/cvxpy/tests
copying cvxpy/tests/test_benchmarks.py -> build/lib.linux-x86_64-3.7/cvxpy/tests
copying cvxpy/tests/test_super_scs.py -> build/lib.linux-x86_64-3.7/cvxpy/tests
copying cvxpy/tests/base_test.py -> build/lib.linux-x86_64-3.7/cvxpy/tests
copying cvxpy/tests/test_mip_vars.py -> build/lib.linux-x86_64-3.7/cvxpy/tests
copying cvxpy/tests/test_qp.py -> build/lib.linux-x86_64-3.7/cvxpy/tests
copying cvxpy/tests/test_matrices.py -> build/lib.linux-x86_64-3.7/cvxpy/tests
copying cvxpy/tests/test_problem.py -> build/lib.linux-x86_64-3.7/cvxpy/tests
copying cvxpy/tests/test_constraints.py -> build/lib.linux-x86_64-3.7/cvxpy/tests
copying cvxpy/tests/test_atoms.py -> build/lib.linux-x86_64-3.7/cvxpy/tests
copying cvxpy/tests/test_scs.py -> build/lib.linux-x86_64-3.7/cvxpy/tests
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the documented AIX360 installation in the Anaconda environment on Windows or the Google Cloud VM, then inspect the cvxpy build error shown in the report. Done means the toolkit installs successfully in at least the affected environment, with the required setup steps documented if the process differs.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- anaconda, google-cloud, python
- Domain
- cloud, tooling
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100