Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Can not install FastTreeSHAP on linux #10

Open
LongUEH opened this issue Aug 12, 2022 · 2 comments
Open

Can not install FastTreeSHAP on linux #10

LongUEH opened this issue Aug 12, 2022 · 2 comments

Comments

@LongUEH
Copy link

LongUEH commented Aug 12, 2022

Hi team,
I have both windows and linux laptop. I was able to install FastTreeSHAP package on window but not on linux. this is the error message that I got on linux:
ERROR: Could not build wheels for fasttreeshap, whichh is required tot install pyproject.toml-based projects

@jlyang1990
Copy link
Collaborator

jlyang1990 commented Oct 20, 2022

Hi, could you provide the detailed error message? My suggestion is to first search this error message on Google, and see if there are any relevant links helpful to resolve this issue (e.g., stackoverflow.com).

@tanish36
Copy link

tanish36 commented Dec 9, 2022

@jlyang1990
Continuing on this using python 3.10 , on google colab and this error is coming

`
Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/
Collecting fasttreeshap==0.1.2
Downloading fasttreeshap-0.1.2.tar.gz (286 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 286.5/286.5 kB 17.3 MB/s eta 0:00:00
Installing build dependencies ... done
Getting requirements to build wheel ... done
Preparing metadata (pyproject.toml) ... done
Collecting numba
Using cached numba-0.56.4-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (3.5 MB)
Collecting pandas
Using cached pandas-1.5.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.1 MB)
Collecting shap
Using cached shap-0.41.0-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (572 kB)
Collecting tqdm>4.25.0
Using cached tqdm-4.64.1-py2.py3-none-any.whl (78 kB)
Collecting slicer==0.0.7
Using cached slicer-0.0.7-py3-none-any.whl (14 kB)
Collecting packaging>20.9
Using cached packaging-22.0-py3-none-any.whl (42 kB)
Collecting cloudpickle
Using cached cloudpickle-2.2.0-py3-none-any.whl (25 kB)
Collecting psutil
Using cached psutil-5.9.4-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (280 kB)
Collecting scipy
Using cached scipy-1.9.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (33.7 MB)
Collecting scikit-learn
Using cached scikit_learn-1.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.5 MB)
Collecting numpy<1.22
Using cached numpy-1.21.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.9 MB)
Collecting llvmlite<0.40,>=0.39.0dev0
Using cached llvmlite-0.39.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.6 MB)
Requirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from numba->fasttreeshap==0.1.2) (65.6.3)
Collecting pytz>=2020.1
Using cached pytz-2022.6-py2.py3-none-any.whl (498 kB)
Collecting python-dateutil>=2.8.1
Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
Collecting joblib>=1.1.1
Using cached joblib-1.2.0-py3-none-any.whl (297 kB)
Collecting threadpoolctl>=2.0.0
Using cached threadpoolctl-3.1.0-py3-none-any.whl (14 kB)
Collecting six>=1.5
Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)
Building wheels for collected packages: fasttreeshap
error: subprocess-exited-with-error

× Building wheel for fasttreeshap (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.
Building wheel for fasttreeshap (pyproject.toml) ... error
ERROR: Failed building wheel for fasttreeshap
Failed to build fasttreeshap
ERROR: Could not build wheels for fasttreeshap, which is required to install pyproject.toml-based projects
`

the error is same for all version

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants