jingtt / varclushiLinks
A Python package for variable clustering
☆51Updated 5 years ago
Alternatives and similar repositories for varclushi
Users that are interested in varclushi are comparing it to the libraries listed below
Sorting:
- Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…☆511Updated last month
- ☆136Updated 7 years ago
- Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …☆116Updated 3 years ago
- scikit-learn compatible tools for building credit risk acceptance models☆106Updated 11 months ago
- Python implementation of the population stability index (PSI)☆143Updated 2 years ago
- SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.☆153Updated 9 months ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated 2 years ago
- ☆49Updated 6 years ago
- Predict whether a loan will be repaid using automated feature engineering.☆64Updated 2 years ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆352Updated 2 years ago
- An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems☆256Updated 6 years ago
- Hierarchical Time Series Forecasting with a familiar API☆226Updated 2 years ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆537Updated 3 weeks ago
- Jupyter Notebook used for writing the article "Black-Box models are actually more explainable than a Logistic Regression" published in To…☆73Updated 2 years ago
- A power-full Shapley feature selection method.☆213Updated 3 months ago
- Custom Loss Functions and Evaluation Metrics for XGBoost and LightGBM☆39Updated 6 months ago
- Uplift modeling package.☆376Updated 3 years ago
- Improving XGBoost survival analysis with embeddings and debiased estimators☆342Updated last year
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆677Updated 11 months ago
- ☆289Updated 2 years ago
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆583Updated last year
- GBST is an optimized distributed gradient boosting survival trees library that is implemented based on the XGBoost☆37Updated 5 years ago
- A python package for feature selection in python☆51Updated 4 years ago
- Code repository for the online course "Feature Engineering for Time Series Forecasting".☆198Updated 2 years ago
- Tools for WoE Transformation mostly used in ScoreCard Model for credit rating☆256Updated 6 years ago
- A set of data tools in Python☆511Updated 2 weeks ago
- UpliftML: A Python Package for Scalable Uplift Modeling☆327Updated 2 years ago
- A general-purpose framework for solving problems with machine learning applied to predicting customer churn☆423Updated last year
- ☆25Updated last year
- A python library to build Model Trees with Linear Models at the leaves.☆387Updated last year