UranA1 commented 6 months ago

Is your feature request related to a problem? Please describe. I am currently working on a project where I am using this library. The issue that I am facing is the old requirements around Pandas and Numpy. Some of the other libraries I am using do not allow for such old versions of Numpy and Pandas.

Describe the solution you'd like Would it be possible to update the requirements the following way?

"numpy>=1.18.5", to "numpy>=1.25",
"pandas>=0.24.1,<1.4.0", to "pandas>=1.4.4,<2",

I cloned the repo locally and ran all the tests and it worked as expected, thus I would not see any issue to not update the requirements to be more up to date.

Describe alternatives you've considered I do understand that it would be possible to get older versions of the external libraries, but I am not sure this would be the best approach for further development.

ppstacy commented 6 months ago

thanks @UranA1! Could you please submit a PR for this?

jeongyoonlee commented 6 months ago

743 relaxed the `pandas` version requirement. For dependencies without upper bounds, e.g., `numpy` in your example, it should install the latest version if it's not already installed. Otherwise, you can upgrade the existing dependencies using `pip install -U -r requirements.txt`.

uber / causalml

Update requirements #742

743 relaxed the `pandas` version requirement. For dependencies without upper bounds, e.g., `numpy` in your example, it should install the latest version if it's not already installed. Otherwise, you can upgrade the existing dependencies using `pip install -U -r requirements.txt`.

uber / causalml

Update requirements #742

743 relaxed the pandas version requirement. For dependencies without upper bounds, e.g., numpy in your example, it should install the latest version if it's not already installed. Otherwise, you can upgrade the existing dependencies using pip install -U -r requirements.txt.

743 relaxed the `pandas` version requirement. For dependencies without upper bounds, e.g., `numpy` in your example, it should install the latest version if it's not already installed. Otherwise, you can upgrade the existing dependencies using `pip install -U -r requirements.txt`.