pbiecek / emaLinks
Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
☆191Updated last year
Alternatives and similar repositories for ema
Users that are interested in ema are comparing it to the libraries listed below
Sorting:
- 📍 Interactive Studio for Explanatory Model Analysis☆333Updated last year
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆83Updated last year
- Parallelizable Bayesian Optimization in R☆113Updated 2 years ago
- CRAN Task View: Anomaly Detection with R 🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛍️🛒🛒☆108Updated 4 months ago
- Explaining the output of machine learning models with more accurately estimated Shapley values☆163Updated 3 weeks ago
- Flexible tool for bias detection, visualization, and mitigation☆86Updated 6 months ago
- R package for automation of machine learning, forecasting, model evaluation, and model interpretation☆246Updated 3 months ago
- An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms☆130Updated 5 years ago
- Fast approximate Shapley values in R☆124Updated 2 months ago
- Variable Importance Plots (VIPs)☆187Updated last year
- Extensions for the DALEX package☆67Updated 11 months ago
- Feature-based Forecast Model Selection (FFORMS)☆78Updated 2 years ago
- iml: interpretable machine learning R package☆501Updated 5 months ago
- modelDown generates a website with HTML summaries for predictive models☆120Updated 3 years ago
- All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman …☆146Updated 10 months ago
- autoxgboost - Automatic tuning and fitting of xgboost☆124Updated 3 years ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆75Updated 5 years ago
- Slides for a forecasting course based on "Forecasting: Principles and Practice"☆173Updated 8 months ago
- The set of functions used for time series analysis and in forecasting.☆93Updated last week
- Speed Up Exploratory Data Analysis (EDA)☆138Updated last year
- Causal Inference using Bayesian Additive Regression Trees☆81Updated this week
- Feature Extraction And Statistics for Time Series☆304Updated 2 months ago
- R-Package for estimating CLV☆57Updated this week
- Documentation for the DALEX project☆36Updated last year
- Compute SHAP values for your tree-based models using the TreeSHAP algorithm☆88Updated last year
- ☆27Updated 6 years ago
- An R package that makes xgboost models fully interpretable☆255Updated 7 years ago
- Automated exploratory data analysis☆83Updated 6 years ago
- Trees are all you need☆113Updated last year
- ☆223Updated 4 years ago