Comments (2)
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).
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@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
from fasttreeshap.
Related Issues (20)
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- SHAP Values Change and Additivity Breaks on NumPy Upgrade HOT 1
- The additivity check failed with feature_perturbation=“tree_path_dependent” HOT 5
- Parallelism not working when model_output="logloss" HOT 3
- Beeswarm plot colorbar is too narrow on jupyter notebooks HOT 1
- The notebook example is not working HOT 2
- 'numpy' has no attribute 'bool' HOT 1
- NumbaDeprecationWarning HOT 5
- "error: could not find a version that satisfies the requirement setuptools (from versions: none)" HOT 1
- ERROR IN INSTALLING FastTreeSHAP HOT 2
- FastTreeSHAP summary_plot plots interaction value instead of impact on model output
- "shap" as a dependency?
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- Catboost bug HOT 3
- Conda package HOT 1
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