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inIbotta/mr_uplift (press backspace or delete to remove)@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 ...
bug
titubs
- 1
- Opened on Sep 1, 2023
- #59
Hi, I have a SIGKILL(-9) memory problem on a ~3millions rows, ~150 columns dataset with a 12CPU 128g memory resources,
with unique discrete treatment (T) and discrete target (y).
I also tried with a basic ...
enhancement
CoteDave
- 7
- Opened on Nov 25, 2022
- #56
Hi,
How can we use the ERUPT metrics to validate/compare our models ? How can we interpret the ERUPT metrics ? I see the
ERUPT curves in the examples but there is no interpretation made out of them. What ...
enhancement
CoteDave
- 3
- Opened on Nov 24, 2022
- #55
Hi,
When I fit MRUplift() with 1 target and 2 treatments, predict_ice return and array with 4 columns. my interpretation is
this
- col1: ice when T1=0
- col2:ice when T1=1
- col3:ice when T2=0 ...
bug
CoteDave
- 2
- Opened on Oct 16, 2022
- #53
Hello, the repo states that multiple treatments (along with multiple outcomes) are enabled.
In my case I have 3 treatments which are continuous such as Price, discount, and quality. I want to see how ...
tinytuna84hh
- 4
- Opened on Sep 9, 2022
- #51
Hi!
It is really exciting to see there is a package for multiple treatment uplift models. Wonder would it be possible to add
an example for the multiple treatments model.
I found this This means that ...
enhancement
yolimonsta
- 6
- Opened on Jan 18, 2022
- #46
Tried to reproduce results of Quick Start Example but got a TypeError: predict_optimal_treatments() got an unexpected
keyword argument weights . After taking off weights parameter in uplift_model.predict_optimal_treatments ...
bug
sevstafiev
- 8
- Opened on May 21, 2021
- #39

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