Comments (3)
Hi, in setup.py, the dependencies are mentioned.
install_requires=['scikit-learn','xgboost','catboost','Keras','lightgbm']
You can install GML on any environment simply by pip:
pip install GML
this will install all the dependencies along with GML.
from gml.
That's fine, I got that, but in case of any failures or weird error messages that might pop up in the dependencies themselves, it would help to note down which dependency is breaking. Keeping around version numbers can be useful for debugging later on. By default, I'm supposing pip just picks up the latest versions for these packages, right?
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GML always requires the latest version of above mentioned dependencies.
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Related Issues (11)
- Apply the featured engineering to new data to make predictions? HOT 9
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