pbiecek / ema
Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
β187Updated last year
Alternatives and similar repositories for ema:
Users that are interested in ema are comparing it to the libraries listed below
- π Interactive Studio for Explanatory Model Analysisβ332Updated last year
- Flexible tool for bias detection, visualization, and mitigationβ86Updated 3 months ago
- iml: interpretable machine learning R packageβ498Updated 2 months ago
- Variable Importance Plots (VIPs)β187Updated last year
- Fast approximate Shapley values in Rβ121Updated last year
- CRAN Task View: Anomaly Detection with R πππππππππππππποΈππβ109Updated last month
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)β84Updated last year
- Speed Up Exploratory Data Analysis (EDA)β137Updated last year
- Explaining the output of machine learning models with more accurately estimated Shapley valuesβ158Updated this week
- R package for automation of machine learning, forecasting, model evaluation, and model interpretationβ243Updated last week
- An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithmsβ130Updated 4 years ago
- Documentation for the DALEX projectβ36Updated last year
- Extensions for the DALEX packageβ67Updated 8 months ago
- modelDown generates a website with HTML summaries for predictive modelsβ120Updated 2 years ago
- Parallelizable Bayesian Optimization in Rβ109Updated 2 years ago
- autoxgboost - Automatic tuning and fitting of xgboostβ123Updated 3 years ago
- Feature-based Forecast Model Selection (FFORMS)β78Updated 2 years ago
- DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanatioβ¦β690Updated 2 years ago
- Feature Extraction And Statistics for Time Seriesβ302Updated last week
- Trees are all you needβ114Updated 11 months ago
- β223Updated 4 years ago
- Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.β232Updated 2 years ago
- Dataflow Programming for Machine Learning in Rβ143Updated last week
- β64Updated last year
- Current version of the SuperLearner R packageβ274Updated last year
- Analytics & Machine Learning R Sidekickβ234Updated 2 months ago
- All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman β¦β142Updated 7 months ago
- β173Updated 3 weeks ago
- Slides for a forecasting course based on "Forecasting: Principles and Practice"β173Updated 5 months ago
- Workshop: Explanation and exploration of machine learning models with R and DALEX at eRum 2020β52Updated 3 years ago