Mathanraj-Sharma
commented
1 year ago @ddlinh From the stack trace you shared I think you had a connection issue (pip is trying to establish a HTTPS connection to the internet and it is failing)
For me it worked like a charm
~/Downloads ❯ pip install fasttreeshap fast-tree-shap at 13:52:46
Collecting fasttreeshap
Downloading fasttreeshap-0.1.6.tar.gz (287 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 287.0/287.0 kB 552.6 kB/s eta 0:00:00
Installing build dependencies ... done
Getting requirements to build wheel ... done
Preparing metadata (pyproject.toml) ... done
Collecting numpy (from fasttreeshap)
Downloading numpy-1.24.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.3 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 17.3/17.3 MB 4.5 MB/s eta 0:00:00
Collecting scipy (from fasttreeshap)
Using cached scipy-1.10.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.5 MB)
Collecting scikit-learn (from fasttreeshap)
Using cached scikit_learn-1.2.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.8 MB)
Collecting pandas (from fasttreeshap)
Using cached pandas-2.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB)
Collecting tqdm>4.25.0 (from fasttreeshap)
Using cached tqdm-4.65.0-py3-none-any.whl (77 kB)
Collecting packaging>20.9 (from fasttreeshap)
Using cached packaging-23.1-py3-none-any.whl (48 kB)
Collecting slicer==0.0.7 (from fasttreeshap)
Using cached slicer-0.0.7-py3-none-any.whl (14 kB)
Collecting numba (from fasttreeshap)
Downloading numba-0.57.1-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (3.6 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.6/3.6 MB 3.9 MB/s eta 0:00:00
Collecting cloudpickle (from fasttreeshap)
Downloading cloudpickle-2.2.1-py3-none-any.whl (25 kB)
Collecting psutil (from fasttreeshap)
Using cached psutil-5.9.5-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (282 kB)
Collecting shap (from fasttreeshap)
Downloading shap-0.41.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (575 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 575.9/575.9 kB 4.3 MB/s eta 0:00:00
Collecting llvmlite<0.41,>=0.40.0dev0 (from numba->fasttreeshap)
Downloading llvmlite-0.40.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (42.1 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 42.1/42.1 MB 3.0 MB/s eta 0:00:00
Collecting importlib-metadata (from numba->fasttreeshap)
Downloading importlib_metadata-6.7.0-py3-none-any.whl (22 kB)
Collecting python-dateutil>=2.8.2 (from pandas->fasttreeshap)
Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
Collecting pytz>=2020.1 (from pandas->fasttreeshap)
Using cached pytz-2023.3-py2.py3-none-any.whl (502 kB)
Collecting tzdata>=2022.1 (from pandas->fasttreeshap)
Using cached tzdata-2023.3-py2.py3-none-any.whl (341 kB)
Collecting joblib>=1.1.1 (from scikit-learn->fasttreeshap)
Using cached joblib-1.2.0-py3-none-any.whl (297 kB)
Collecting threadpoolctl>=2.0.0 (from scikit-learn->fasttreeshap)
Using cached threadpoolctl-3.1.0-py3-none-any.whl (14 kB)
Collecting six>=1.5 (from python-dateutil>=2.8.2->pandas->fasttreeshap)
Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)
Collecting zipp>=0.5 (from importlib-metadata->numba->fasttreeshap)
Using cached zipp-3.15.0-py3-none-any.whl (6.8 kB)
Building wheels for collected packages: fasttreeshap
Building wheel for fasttreeshap (pyproject.toml) ... done
Created wheel for fasttreeshap: filename=fasttreeshap-0.1.6-cp38-cp38-linux_x86_64.whl size=445532 sha256=9c3d5b33fea13a5ac9599fdfe75ed4ce7a6e6e81926198d7501f708f5e5f8e3c
Stored in directory: /home/mathanraj-sharma/.cache/pip/wheels/38/d5/0e/220cd272e581c1004f9f34e4df273a44c94a6122100ecf034f
Successfully built fasttreeshap
Installing collected packages: pytz, zipp, tzdata, tqdm, threadpoolctl, slicer, six, psutil, packaging, numpy, llvmlite, joblib, cloudpickle, scipy, python-dateutil, importlib-metadata, scikit-learn, pandas, numba, shap, fasttreeshap
Successfully installed cloudpickle-2.2.1 fasttreeshap-0.1.6 importlib-metadata-6.7.0 joblib-1.2.0 llvmlite-0.40.1 numba-0.57.1 numpy-1.24.4 packaging-23.1 pandas-2.0.2 psutil-5.9.5 python-dateutil-2.8.2 pytz-2023.3 scikit-learn-1.2.2 scipy-1.10.1 shap-0.41.0 six-1.16.0 slicer-0.0.7 threadpoolctl-3.1.0 tqdm-4.65.0 tzdata-2023.3 zipp-3.15.0Environment
# packages in environment at /home/mathanraj-sharma/miniconda3/envs/fast-tree-shap:
#
# Name Version Build Channel
_libgcc_mutex 0.1 main defaults
_openmp_mutex 5.1 1_gnu defaults
ca-certificates 2023.05.30 h06a4308_0 defaults
cloudpickle 2.2.1 pypi_0 pypi
fasttreeshap 0.1.6 pypi_0 pypi
importlib-metadata 6.7.0 pypi_0 pypi
joblib 1.2.0 pypi_0 pypi
ld_impl_linux-64 2.38 h1181459_1 defaults
libffi 3.4.4 h6a678d5_0 defaults
libgcc-ng 11.2.0 h1234567_1 defaults
libgomp 11.2.0 h1234567_1 defaults
libstdcxx-ng 11.2.0 h1234567_1 defaults
llvmlite 0.40.1 pypi_0 pypi
ncurses 6.4 h6a678d5_0 defaults
numba 0.57.1 pypi_0 pypi
numpy 1.24.4 pypi_0 pypi
openssl 3.0.9 h7f8727e_0 defaults
packaging 23.1 pypi_0 pypi
pandas 2.0.2 pypi_0 pypi
pip 23.1.2 py38h06a4308_0 defaults
psutil 5.9.5 pypi_0 pypi
python 3.8.16 h955ad1f_4 defaults
python-dateutil 2.8.2 pypi_0 pypi
pytz 2023.3 pypi_0 pypi
readline 8.2 h5eee18b_0 defaults
scikit-learn 1.2.2 pypi_0 pypi
scipy 1.10.1 pypi_0 pypi
setuptools 67.8.0 py38h06a4308_0 defaults
shap 0.41.0 pypi_0 pypi
six 1.16.0 pypi_0 pypi
slicer 0.0.7 pypi_0 pypi
sqlite 3.41.2 h5eee18b_0 defaults
threadpoolctl 3.1.0 pypi_0 pypi
tk 8.6.12 h1ccaba5_0 defaults
tqdm 4.65.0 pypi_0 pypi
tzdata 2023.3 pypi_0 pypi
wheel 0.38.4 py38h06a4308_0 defaults
xz 5.4.2 h5eee18b_0 defaults
zipp 3.15.0 pypi_0 pypi
zlib 1.2.13 h5eee18b_0 defaults
I cannot install the package fasttreeshap using pip in python 3.8 due to the error below. I'm using setuptools as version 51.0.0.
How can I solve this?
Many thanks,