Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.
☆529Aug 28, 2026Updated last week
Alternatives and similar repositories for optbinning
Users that are interested in optbinning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- scikit-learn compatible tools for building credit risk acceptance models☆113Feb 9, 2025Updated last year
- Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …☆118Oct 26, 2022Updated 3 years ago
- Scorecard Development in python, 评分卡☆802Jul 28, 2026Updated last month
- ESC Team's credit scorecard tools.☆528Jun 16, 2026Updated 2 months ago
- Monotonic Optimal Binning in Consumer Credit Risk Scorecard Development☆59Nov 7, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- risk_model☆27Jun 25, 2022Updated 4 years ago
- A High-level Scorecard Modeling API | 评分卡建模尽在于此☆83Oct 10, 2022Updated 3 years ago
- Python Implementation of Monotonic Optimal Binning☆16Jan 14, 2024Updated 2 years ago
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,277Aug 30, 2026Updated last week
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,618Updated this week
- Logistic regression with bound and linear constraints. L1, L2 and Elastic-Net regularization.☆32Mar 14, 2023Updated 3 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117May 13, 2023Updated 3 years ago
- GBST is an optimized distributed gradient boosting survival trees library that is implemented based on the XGBoost☆37Apr 22, 2020Updated 6 years ago
- An extension of LightGBM to probabilistic modelling☆395Aug 14, 2026Updated 3 weeks ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- 关于评分卡的基本流程☆67Aug 21, 2019Updated 7 years ago
- machine learning with logical rules in Python☆664Jan 31, 2024Updated 2 years ago
- Explainable Boosted Scoring with Python: turning XGBoost, LightGBM, and CatBoost into explainable scorecards☆57Apr 19, 2026Updated 4 months ago
- Monotonic Optimal Binning algorithm is a statistical approach to transform continuous variables into optimal and monotonic categorical va…☆22May 31, 2026Updated 3 months ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,887Updated this week
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,587Aug 14, 2026Updated 3 weeks ago
- Tools for WoE Transformation mostly used in ScoreCard Model for credit rating☆254Oct 29, 2019Updated 6 years ago
- SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.☆153Apr 19, 2025Updated last year
- Extra blocks for scikit-learn pipelines.☆1,409Updated this week
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Python implementations of the Boruta all-relevant feature selection method.☆1,628Nov 13, 2025Updated 9 months ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆657Feb 19, 2024Updated 2 years ago
- A re-creation of SAS varclus procedure in Python☆23Aug 31, 2018Updated 8 years ago
- Risk scorecard develop tool welcome to use☆20Jan 31, 2022Updated 4 years ago
- 风控建模评分报告☆11Oct 16, 2020Updated 5 years ago
- An extension of XGBoost to probabilistic modelling☆728Aug 14, 2026Updated 3 weeks ago
- [Mach. Learn. 2026] Official implementation of "Monotone Composite Quantile Regression via Second-Order Gradient Boosting Framework"☆47Jul 7, 2026Updated 2 months ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆546Jan 6, 2026Updated 8 months ago
- Robust piecewise regression☆14Jan 23, 2026Updated 7 months ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Fast Bayesian A/B and Multivariate testing.☆36Dec 27, 2022Updated 3 years ago
- uplift modeling in scikit-learn style in python☆814Oct 21, 2023Updated 2 years ago
- A library of sklearn compatible categorical variable encoders☆2,501Updated this week
- 分别基于statsmodels和scikit-learn实现两种可用于sklearn pipeline的 LogisticRegression,并输出相应的报告☆22May 21, 2023Updated 3 years ago
- ☆136Nov 26, 2018Updated 7 years ago
- 通过Featuretools自动特征工程预测贷款偿还☆20Jan 10, 2020Updated 6 years ago
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆684Feb 19, 2025Updated last year