[sklift.metrics](https://www.uplift-modeling.com/en/v0.4.0/api/index/metrics.html)
* 🔥 Add [make_uplift_scorer](https://www.uplift-modeling.com/en/v0.4.0/api/metrics/make_uplift_scorer.html) function for interacting with the module ``sklearn.model_selection`` by [wrapper228](https://github.com/wrapper228).
* 🔥 Add new metric [average_squared_deviation](https://www.uplift-modeling.com/en/v0.4.0/api/metrics/average_squared_deviation.html) function by [Mogby](https://github.com/Mogby).
[sklift.viz](https://www.uplift-modeling.com/en/v0.4.0/api/viz/index.html)
* 🔥 Added the ability to draw multiple plot on the same graph of [plot_uplift_curve](https://www.uplift-modeling.com/en/v0.4.0/api/viz/plot_uplift_curve.html) function and [plot_qini_curve](https://www.uplift-modeling.com/en/v0.4.0/api/viz/plot_qini_curve.html) function by [flashlight101](https://github.com/flashlight101).
[sklift.datasets](https://www.uplift-modeling.com/en/v0.4.0/api/datasets/index.html)
* 💥 Add new dataset [fetch_megafon](https://www.uplift-modeling.com/en/v0.4.0/api/datasets/fetch_megafon.html) function by [ezhdi](https://github.com/ezhdi).
* 📝 Improve documentation of [sklift.datasets](https://www.uplift-modeling.com/en/v0.4.0/api/datasets/index.html) by [flashlight101](https://github.com/flashlight101) and [ezhdi](https://github.com/ezhdi).
Miscellaneous
* 💥 Add new tutorial [Example of usage model from sklift.models in sklearn.model_selection](https://nbviewer.jupyter.org/github/maks-sh/scikit-uplift/blob/master/notebooks/uplift_model_selection_tutorial.ipynb) by [wrapper228](https://github.com/wrapper228).
* 💥 Increased test coverage from 30% to 82% by [flashlight101](https://github.com/flashlight101) and [Ksyula](https://github.com/Ksyula)
* 📝 Add EDA of available datasets on [Tutorials](https://www.uplift-modeling.com/en/v0.4.0/tutorials.html) page by [lyutov89](https://github.com/lyutov89), [ezhdi](https://github.com/ezhdi), [patpanda94](https://github.com/patpanda94) and [Ksyula](https://github.com/Ksyula).
* 📝 Imporve ["RetailHero tutorial"](https://nbviewer.jupyter.org/github/maks-sh/scikit-uplift/blob/master/notebooks/RetailHero_EN.ipynb) by [Ksyula](https://github.com/Ksyula).