search

erdogant / hgboost

hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.
http://erdogant.github.io/hgboost
Other
57 stars 17 forks source link

hgboost installation error #18

Closed chandrabhuma closed 10 months ago

chandrabhuma commented 10 months ago

When installing in colab...this error is coming error: subprocess-exited-with-error

× python setup.py egg_info 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. Preparing metadata (setup.py) ... error error: metadata-generation-failed

× Encountered error while generating package metadata. ╰─> See above for output.

note: This is an issue with the package mentioned above, not pip. hint: See above for details.

Could you pl help

erdogant commented 10 months ago

Both colab notebooks are working on my machine. Do you pip install the package? or install it from github source?

chandrabhuma commented 10 months ago

I checked once again in COLAB PRO. I have installed using PIP. The error message is like this...Some times it is working but most of the times it is showing the following error Collecting hgboost Using cached hgboost-1.1.5-py3-none-any.whl (28 kB) Collecting datazets (from hgboost) Using cached datazets-0.1.9-py3-none-any.whl (51 kB) Collecting pypickle (from hgboost) Using cached pypickle-1.1.0-py3-none-any.whl (5.1 kB) Requirement already satisfied: matplotlib in /usr/local/lib/python3.10/dist-packages (from hgboost) (3.7.1) Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from hgboost) (1.23.5) Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from hgboost) (1.5.3) Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from hgboost) (4.66.1) Requirement already satisfied: hyperopt in /usr/local/lib/python3.10/dist-packages (from hgboost) (0.2.7) Requirement already satisfied: lightgbm>=4.1.0 in /usr/local/lib/python3.10/dist-packages (from hgboost) (4.1.0) Collecting catboost (from hgboost) Using cached catboost-1.2.2-cp310-cp310-manylinux2014_x86_64.whl (98.7 MB) Requirement already satisfied: xgboost in /usr/local/lib/python3.10/dist-packages (from hgboost) (2.0.1) Collecting classeval (from hgboost) Using cached classeval-0.2.1-py3-none-any.whl (16 kB) Collecting treeplot (from hgboost) Using cached treeplot-0.1.16-py3-none-any.whl (8.7 kB) Collecting df2onehot (from hgboost) Using cached df2onehot-1.0.6-py3-none-any.whl (14 kB) Collecting colourmap (from hgboost) Using cached colourmap-1.1.16-py3-none-any.whl (10 kB) Requirement already satisfied: seaborn in /usr/local/lib/python3.10/dist-packages (from hgboost) (0.12.2) Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from lightgbm>=4.1.0->hgboost) (1.11.3) Requirement already satisfied: graphviz in /usr/local/lib/python3.10/dist-packages (from catboost->hgboost) (0.20.1) Requirement already satisfied: plotly in /usr/local/lib/python3.10/dist-packages (from catboost->hgboost) (5.15.0) Requirement already satisfied: six in /usr/local/lib/python3.10/dist-packages (from catboost->hgboost) (1.16.0) Requirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.10/dist-packages (from pandas->hgboost) (2.8.2) Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas->hgboost) (2023.3.post1) Collecting funcsigs (from classeval->hgboost) Using cached funcsigs-1.0.2-py2.py3-none-any.whl (17 kB) Collecting sklearn (from classeval->hgboost) Using cached sklearn-0.0.post10.tar.gz (3.6 kB) error: subprocess-exited-with-error

× python setup.py egg_info 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. Preparing metadata (setup.py) ... error error: metadata-generation-failed

× Encountered error while generating package metadata. ╰─> See above for output.

note: This is an issue with the package mentioned above, not pip. hint: See above for details.

chandrabhuma commented 10 months ago

After installing !pip install sklearn==0.0 Then the problem solved. thanks for the response. The toolbox is very useful