wayfair / pyliftLinks
Uplift modeling package.
☆374Updated 2 years ago
Alternatives and similar repositories for pylift
Users that are interested in pylift are comparing it to the libraries listed below
Sorting:
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆350Updated 2 years ago
- Uplift modeling and evaluation library. Actively maintained pypi version.☆75Updated last year
- ☆360Updated last year
- UpliftML: A Python Package for Scalable Uplift Modeling☆327Updated 2 years ago
- ☆289Updated 2 years ago
- ☆34Updated 6 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆70Updated 4 months ago
- uplift modeling in scikit-learn style in python☆776Updated last year
- Python package for causal inference using Bayesian structural time-series models.☆241Updated 5 years ago
- A Python implementation of "Shapley Value Methods for Attribution Modeling in Online Advertising" by Zhao, et al.☆41Updated 5 years ago
- Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …☆117Updated 2 years ago
- machine learning with logical rules in Python☆644Updated last year
- A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.☆22Updated 8 years ago
- Python implementation of the rulefit algorithm☆423Updated last year
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆65Updated last year
- ☆280Updated 3 years ago
- XGBoost Feature Interactions Reshaped☆432Updated 7 years ago
- Lightweight uplift modeling framework for Python☆28Updated 5 years ago
- Hierarchical Time Series Forecasting using Prophet☆144Updated 4 years ago
- A tour through recommendation algorithms in python [IN PROGRESS]☆177Updated 8 months ago
- Multi Channel Attribution☆10Updated 8 years ago
- Causal Inference in Python☆573Updated 2 months ago
- Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…☆490Updated last week
- Python implementation of the population stability index (PSI)☆142Updated last year
- Repository with code and slides for a tutorial on causal inference.☆579Updated 5 years ago
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…☆382Updated 3 years ago
- An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad☆104Updated 2 years ago
- Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.☆170Updated last year
- Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data☆176Updated last year
- Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.☆327Updated 5 years ago