scikit-uplift
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maks-sh
:exclamation: uplift modeling in scikit-learn style in python :snake:
## 📚 Documentation There should be a table with approximately the following columns: - Dataset name, - what is the task, - the share of the treatment, - the share...
## 📚 Documentation It is important that when you click on external links in the documentation, the pages open in a new tab so that the user can quickly return...
## 💡 Feature request We need a function to generate a random binary uplift task `make_uplift_classification`. It is contains three columns: target, treatment and uplift. Target and treatment columns are...
## 📚 Documentation We are equal to the best, so we want our documentation to be convenient like the PyTorch documentation. We want the user not to have to leave...
## 💡 Feature request We already have a relatively large number of notebooks. It is important that they are all in the same style: - The title in the general...
## 💡 Feature request Hi! Perfect uplift is required to compute both perfect uplift curve and perfect qini curve. Why is the formula to generate the perfect uplift different? Does...
## 🐛 Bug I would like to understand about the qini curve plot where the X - axis denoted number targeted but i assume it is total length of the...
## 💡 Feature request Explore an article below and implement `dummy and interactions approach` or `DIA` - multitreatment approach for uplift modeling. This is an extension of binary `sklift.models.SoloModel` to...
Hi, thanks so much for your amazing work. Do u have any plan for supporting multi treatments uplift model ?
## 🐛 Bug ## To Reproduce Steps to reproduce the behavior: When subfunction {response_rate_by_percentile} is executed based on the prediction of a model, if the variable *group_size* has a value...
