giuseppec / imlLinks
iml: interpretable machine learning R package
β499Updated 4 months ago
Alternatives and similar repositories for iml
Users that are interested in iml are comparing it to the libraries listed below
Sorting:
- π Interactive Studio for Explanatory Model Analysisβ332Updated last year
- Local Interpretable Model-Agnostic Explanations (R port of original Python package)β486Updated 2 years ago
- Variable Importance Plots (VIPs)β187Updated last year
- Multivariate Imputation by Chained Equationsβ469Updated 2 weeks ago
- Feature Extraction And Statistics for Time Seriesβ302Updated last month
- Current version of the SuperLearner R packageβ276Updated last year
- An R package for working with causal directed acyclic graphs (DAGs)β449Updated 2 months ago
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distrβ¦β285Updated 5 months ago
- Automate Data Exploration and Treatmentβ525Updated last year
- A tidy unified interface to modelsβ626Updated 3 weeks ago
- Analytics & Machine Learning R Sidekickβ237Updated last week
- bayesplot R package for plotting Bayesian modelsβ438Updated this week
- Bayesian analysis + tidy data + geoms (R package)β740Updated 9 months ago
- autoxgboost - Automatic tuning and fitting of xgboostβ123Updated 3 years ago
- Tidy time series forecastingβ569Updated last month
- Tools for tidy parameter tuningβ307Updated this week
- Tidy methods for measuring model performanceβ391Updated 2 weeks ago
- Tidy data structures, summaries, and visualisations for missing dataβ661Updated last month
- Pipeable steps for feature engineering and data preprocessing to prepare for modelingβ595Updated 2 weeks ago
- A dplyr backend that partitions a data frame over multiple processesβ646Updated 10 months ago
- R package that extends ggplot2