Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and multiple responses
@samcarlos Hi Sam,
I am trying to install MR Uplift and noticed some issues:
pip install issue due to sklearn. Here is the error code:
× python setup.py egg_info did not run successfully.
│ exit code: 1
╰─> [18 lines of output]
The 'sklearn' PyPI package is deprecated, use 'scikit-learn'
rather than 'sklearn' for pip commands.
Here is how to fix this error in the main use cases:
- use 'pip install scikit-learn' rather than 'pip install sklearn'
- replace 'sklearn' by 'scikit-learn' in your pip requirements files
(requirements.txt, setup.py, setup.cfg, Pipfile, etc ...)
- if the 'sklearn' package is used by one of your dependencies,
it would be great if you take some time to track which package uses
'sklearn' instead of 'scikit-learn' and report it to their issue tracker
- as a last resort, set the environment variable
SKLEARN_ALLOW_DEPRECATED_SKLEARN_PACKAGE_INSTALL=True to avoid this error
It seems like in your install scripts this may need an update?
Also, I noticed there havent been any updates since April 2021, is this library still fully in tact?
Hey @titubs pip install works for me with a fresh condo environment. Do you have a previous sklearn installed in your current env? It should be in tact.
@samcarlos Hi Sam, I am trying to install MR Uplift and noticed some issues:
It seems like in your install scripts this may need an update?
Also, I noticed there havent been any updates since April 2021, is this library still fully in tact?