wayfair / pylift
Uplift modeling package.
☆373Updated 2 years ago
Alternatives and similar repositories for pylift:
Users that are interested in pylift are comparing it to the libraries listed below
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆347Updated last year
- Uplift modeling and evaluation library. Actively maintained pypi version.☆75Updated last year
- UpliftML: A Python Package for Scalable Uplift Modeling☆326Updated 2 years ago
- ☆344Updated 8 months ago
- uplift modeling in scikit-learn style in python☆762Updated last year
- ☆287Updated last year
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆68Updated last week
- Python port of CausalImpact R library☆285Updated last year
- ☆34Updated 6 years ago
- ☆267Updated 3 years ago
- Python package for causal inference using Bayesian structural time-series models.☆240Updated 4 years ago
- XGBoost Feature Interactions Reshaped☆429Updated 7 years ago
- Causal Inference in Python☆568Updated 4 years ago
- Python implementation of the population stability index (PSI)☆139Updated last year
- Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.☆169Updated 9 months ago
- Multi-Touch Attribution☆116Updated 3 years ago
- Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…☆471Updated 2 months ago
- Python implementation of the rulefit algorithm☆419Updated last year
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆63Updated last year
- A tour through recommendation algorithms in python [IN PROGRESS]☆177Updated 4 months ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆636Updated 3 months ago
- Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …☆117Updated 2 years ago
- A Python implementation of "Shapley Value Methods for Attribution Modeling in Online Advertising" by Zhao, et al.☆39Updated 5 years ago
- Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.☆327Updated 4 years ago
- Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data☆176Updated 8 months ago
- Lightweight uplift modeling framework for Python☆28Updated 5 years ago
- A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.☆22Updated 8 years ago
- Counterfactual Regression☆306Updated 2 years ago
- python partial dependence plot toolbox☆853Updated 8 months ago
- XGBoost Feature Interactions & Importance☆500Updated 7 years ago