manuel-calzolari / shapicant
Feature selection package based on SHAP and target permutation, for pandas and Spark
☆30Updated 3 years ago
Alternatives and similar repositories for shapicant:
Users that are interested in shapicant are comparing it to the libraries listed below
- An extension of CatBoost to probabilistic modelling☆143Updated last year
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- Surrogate Assisted Feature Extraction☆37Updated 3 years ago
- Random Forest or XGBoost? It is Time to Explore LCE☆66Updated last year
- Python package for missing-data imputation with deep learning☆144Updated 7 months ago
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆64Updated last month
- Python package for automatically constructing features from multiple time series☆40Updated 7 months ago
- A power-full Shapley feature selection method.☆204Updated 11 months ago
- Cyclic Boosting Machines - an explainable supervised machine learning algorithm☆60Updated 7 months ago
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆100Updated 2 years ago
- Distributional Gradient Boosting Machines☆26Updated 2 years ago
- Generalized additive model with pairwise interactions☆66Updated last year
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆65Updated 11 months ago
- Fast implementation of Venn-ABERS probabilistic predictors☆72Updated last year
- Hierarchical Time Series Forecasting with a familiar API☆224Updated last year
- All Relevant Feature Selection☆131Updated last week
- Python package for Imputation Methods☆248Updated last year
- Python package for performing the Alternating Conditional Expectation (ACE) regression☆71Updated last year
- Bayesian time series forecasting and decision analysis☆115Updated last year
- Probabilistic Gradient Boosting Machines☆149Updated last year
- tsbootstrap: generate bootstrapped time series samples in Python☆78Updated 4 months ago
- A Library for Conformal Hyperparameter Tuning☆29Updated this week
- Probabilistic prediction with XGBoost.☆107Updated 3 weeks ago
- scikit-learn gradient-boosting-model interactions☆25Updated last year
- A scikit-learn compatible implementation of hyperband☆76Updated 5 years ago
- Quantile Regression Forests compatible with scikit-learn.☆227Updated 2 weeks ago
- implementation of Cyclic Boosting machine learning algorithms☆88Updated 7 months ago
- An automated machine learning tool aimed to facilitate AutoML research.☆96Updated 7 months ago
- Gradient boosting on steroids☆28Updated 9 months ago
- Helpers for scikit learn☆16Updated 2 years ago