ing-bank / probatusLinks
SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
☆150Updated 2 months ago
Alternatives and similar repositories for probatus
Users that are interested in probatus are comparing it to the libraries listed below
Sorting:
- A power-full Shapley feature selection method.☆208Updated last year
- All Relevant Feature Selection☆135Updated 2 months ago
- Hierarchical Time Series Forecasting with a familiar API☆224Updated 2 years ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆618Updated last year
- Probabilistic Gradient Boosting Machines☆155Updated last year
- Python package for Imputation Methods☆248Updated last year
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆577Updated last year
- An extension of LightGBM to probabilistic modelling☆316Updated last year
- Quantile Regression Forests compatible with scikit-learn.☆231Updated this week
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆102Updated 2 years ago
- A python package for time series forecasting with scikit-learn estimators.☆161Updated last year
- scikit-learn compatible tools for building credit risk acceptance models☆100Updated 4 months ago
- Phi_K correlation analyzer library☆164Updated 4 months ago
- Multiple Imputation with LightGBM in Python☆382Updated 10 months ago
- Forecasting with Gradient Boosted Time Series Decomposition☆195Updated last year
- Example usage of scikit-hts☆57Updated 2 years ago
- An extension of CatBoost to probabilistic modelling☆144Updated last year
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆64Updated 3 months ago
- Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…☆477Updated 2 weeks ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated 2 years ago
- Random Forest or XGBoost? It is Time to Explore LCE☆66Updated last year
- Time should be taken seer-iously☆316Updated 2 years ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆521Updated 2 months ago
- Improving XGBoost survival analysis with embeddings and debiased estimators☆337Updated 8 months ago
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆651Updated 4 months ago
- Fast SHAP value computation for interpreting tree-based models☆539Updated last year
- Model Error Analysis for scikit-learn models.☆29Updated 3 years ago
- An extension of XGBoost to probabilistic modelling☆624Updated last month
- A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosyst…☆150Updated last year
- A python library to build Model Trees with Linear Models at the leaves.☆373Updated 11 months ago