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uber / causalml

Uplift modeling and causal inference with machine learning algorithms
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some problems in installing causalml #593

Closed deft899 closed 1 year ago

deft899 commented 1 year ago

When installing causalml, I used methods including pip and conda, but none of them were successfully installed. Here are the errors I installed with the pip command, I don't know how to solve it

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Sohaib90 commented 1 year ago

Hello.

It seems like you are encountering problems with your setuptools. I would suggest to upgrade your pip and setuptools and try installing causalml again You can do this with the following commands

For pip: python -m pip install -U pip

For setuptools: pip install -upgrade setuptools

I hope this works

jakirhasantalukder commented 1 year ago

I have a similar issue: after following your suggestions, I am unable to install the causalml packages.

Error: Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/ Collecting causalml Using cached causalml-0.13.0.tar.gz (535 kB) error: subprocess-exited-with-error

× python setup.py egg_info did not run successfully. │ exit code: 1 Capture

╰─> 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.

talhaanwarch commented 1 year ago

did you try installing from source

jakirhasantalukder commented 1 year ago

Hi Talha,

Yes, I did.

Is it working from your side?

Please let me know. I am in serious crisis.

Best regards Jakir

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From: Talha Anwar @.> Sent: Wednesday, May 10, 2023 1:27 pm To: uber/causalml @.> Cc: Talukder, Md Jakir Hasan - talmh001 @.>; Comment @.> Subject: Re: [uber/causalml] some problems in installing causalml (Issue #593)

did you try installing from source

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vincewu51 commented 1 year ago

This should be solved in 637

jakirhasantalukder commented 1 year ago

This code will work in google colab:

!git clone https://github.com/uber/causalml !cd causalml !pip install -e

!pip install /content/causalml

Then , run:

from causalml.inference.meta import BaseXRegressor, BaseRRegressor, BaseSRegressor, BaseTRegressor from causalml.inference.nn import CEVAE from causalml.propensity import ElasticNetPropensityModel from causalml.metrics import * from causalml.dataset import simulate_hidden_confounder

till, if it is not workiing, then restart the run time and run again. It will work.!!!