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Ibotta/mr_uplift
Pip install issue due to scikit-learn

@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

Ibotta/mr_uplift
SIGKILL(-9) memory problem from gridsearch

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

Ibotta/mr_uplift
How can we use ERUPT metrics to validate model ?

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

Ibotta/mr_uplift
predict_ice return more outputs than (number of treatments * number of targets * 2 (T0, T1))

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

Ibotta/mr_uplift
How can we predict the uplift scores ?

Hi, Is it possible to predict the individual uplift scores ?
bug
  • CoteDave
  • 1
  • Opened 
    on Oct 14, 2022
  • #52

Ibotta/mr_uplift
Example for multiple treatment needed!

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

Ibotta/mr_uplift
Examples for multiple treatments

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

Ibotta/mr_uplift
TypeErrors

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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