maks-sh / scikit-upliftLinks
uplift modeling in scikit-learn style in python
☆783Updated last year
Alternatives and similar repositories for scikit-uplift
Users that are interested in scikit-uplift are comparing it to the libraries listed below
Sorting:
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆349Updated 2 years ago
- UpliftML: A Python Package for Scalable Uplift Modeling☆328Updated 2 years ago
- Uplift modeling package.☆376Updated 2 years ago
- Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…☆492Updated last month
- Source code to reproduce experiments from the article Practitioner’s Guide to Statistical Tests☆209Updated 3 years ago
- Uplift modeling and evaluation library. Actively maintained pypi version.☆78Updated last year
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆653Updated 9 months ago
- ☆362Updated last year
- Python based GBDT implementation on GPU. Efficient multioutput (multiclass/multilabel/multitask) training☆188Updated 3 months ago
- Ambrosia is a Python library for A/B tests design, split and result measurement☆235Updated last year
- CatBoost tutorials repository☆1,077Updated last week
- Improving XGBoost survival analysis with embeddings and debiased estimators☆342Updated last year
- python partial dependence plot toolbox☆861Updated last year
- Python implementation of the rulefit algorithm☆426Updated 2 years ago
- machine learning with logical rules in Python☆646Updated last year
- Python implementation of the population stability index (PSI)☆142Updated 2 years ago
- RecSys Library☆69Updated 3 years ago
- LAMA - automatic model creation framework☆926Updated 3 years ago
- A library built upon PyTorch for building embeddings on discrete event sequences using self-supervision☆243Updated last month
- A library of metrics for evaluating recommender systems☆581Updated last year
- ☆289Updated 2 years ago
- Leave One Feature Out Importance☆840Updated 7 months ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆635Updated last year
- ☆61Updated 3 years ago
- Fast SHAP value computation for interpreting tree-based models☆541Updated 2 years ago
- A Python package for modular causal inference analysis and model evaluations☆793Updated 6 months ago
- Fast and customizable framework for automatic and quick Causal Inference in Python☆116Updated this week
- Python package for stacking (machine learning technique)☆696Updated 2 weeks ago
- Automated modeling and machine learning framework FEDOT☆695Updated last month
- DoubleML - Double Machine Learning in Python☆661Updated last week