pythonfix
scikit-uplift 0.5.1
Classic approaches of Uplift modelling in scikit-learn style in python
Classic approaches of Uplift modelling in scikit-learn style in python
Stars: 688, Watchers: 688, Forks: 94, Open Issues: 27The maks-sh/scikit-uplift repo was created 4 years ago and the last code push was 5 months ago.
The project is popular with 688 github stars!
How to Install scikit-uplift
You can install scikit-uplift using pip
pip install scikit-uplift
or add it to a project with poetry
poetry add scikit-uplift
Package Details
- Author
- License
- Homepage
- https://github.com/maks-sh/scikit-uplift
- PyPi:
- https://pypi.org/project/scikit-uplift/
- GitHub Repo:
- https://github.com/maks-sh/scikit-uplift
Classifiers
Related Packages
Errors
A list of common scikit-uplift errors.
Code Examples
Here are some scikit-uplift code examples and snippets.
GitHub Issues
The scikit-uplift package has 27 open issues on GitHub
- Incorrect error message in metrics.uplift_at_k
Related Packages & Articles
econml 0.15.0
This package contains several methods for calculating Conditional Average Treatment Effects
dowhy 0.11.1
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions
causalml 0.15.0
Python Package for Uplift Modeling and Causal Inference with Machine Learning Algorithms
scikit-optimize 0.10.1
Sequential model-based optimization toolbox.
pytorch-argus 1.0.0
Argus is a lightweight library for training neural networks in PyTorch.
pytorch-tabular 1.1.0
A standard framework for using Deep Learning for tabular data
jupyterlab-templates 0.5.2
notebook templates for jupyterlab
rexmex 0.1.3
A General Purpose Recommender Metrics Library for Fair Evaluation.
umap-learn 0.5.6
Uniform Manifold Approximation and Projection