Skip to content

issues Search Results · repo:Ibotta/mr_uplift language:Python

Filter by

8 results
 (61 ms)

8 results

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

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

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
Issue origami icon

Learn how you can use GitHub Issues to plan and track your work.

Save views for sprints, backlogs, teams, or releases. Rank, sort, and filter issues to suit the occasion. The possibilities are endless.Learn more about GitHub Issues
ProTip! 
Restrict your search to the title by using the in:title qualifier.
Issue origami icon

Learn how you can use GitHub Issues to plan and track your work.

Save views for sprints, backlogs, teams, or releases. Rank, sort, and filter issues to suit the occasion. The possibilities are endless.Learn more about GitHub Issues
ProTip! 
Press the
/
key to activate the search input again and adjust your query.
Issue search results · GitHub