david-cortes / outliertree
(Python, R, C++) Explainable outlier/anomaly detection through decision tree conditioning
☆56Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for outliertree
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…☆120Updated 4 months ago
- (Python, R, C/C++) Isolation Forest and variations such as SCiForest and EIF, with some additions (outlier detection + similarity + NA im…☆197Updated last month
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆81Updated 11 months ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆64Updated 6 months ago
- oddstream {Outlier Detection in Data STREAMs}☆64Updated 4 years ago
- Performance estimation for time series forecasting tasks☆36Updated 3 years ago
- Surrogate Assisted Feature Extraction☆36Updated 3 years ago
- Intel Labs open source repository for time series anomaly detection evaluator☆42Updated 10 months ago
- Helpers for scikit learn☆16Updated last year
- autoxgboost - Automatic tuning and fitting of xgboost☆121Updated 2 years ago
- This is the implementation of Sparse Projection Oblique Randomer Forest☆97Updated 6 months ago
- Hierarchical and Grouped Time Series☆110Updated 3 months ago
- Feature-based Forecast Model Selection (FFORMS)☆80Updated 2 years ago
- Online Time Series Anomaly Detectors☆28Updated last year
- Python implementation of R package breakDown☆41Updated last year
- A python package for hierarchical forecasting, inspired by hts package in R.☆28Updated 8 months ago
- Documentation for the DALEX project☆34Updated 8 months ago
- An R package for utility-based learning☆32Updated 3 years ago
- Nested cross-validation for accurate confidence intervals for prediction error.☆41Updated 2 years ago
- git mirror of CRAN Task View Time Series files☆47Updated 2 years ago
- GAMI-Net: Generalized Additive Models with Structured Interactions☆30Updated 2 years ago
- Temporal HIErarchical Forecasting☆46Updated last year
- An extension of CatBoost to probabilistic modelling☆141Updated last year
- Feature selection package based on SHAP and target permutation, for pandas and Spark☆30Updated 2 years ago
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆28Updated 5 years ago
- ☆14Updated 5 years ago
- The repository contains current, slightly updated, version of ES_RNN - a hybrid Exponential Smoothing/Recurrent NN method that won M4 For…☆28Updated 5 years ago
- An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms☆130Updated 4 years ago
- scikit-learn gradient-boosting-model interactions☆25Updated last year
- Flexible tool for bias detection, visualization, and mitigation☆86Updated 2 years ago