ExplainPrediction
Model explainer
An R package for explaining the predictions made by machine learning models in data science applications.
R package ExplainPrediction
2 stars
2 watching
0 forks
Language: R
last commit: over 7 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 modeloriented/modelstudio | A tool for creating interactive, model-agnostic explanations of machine learning models in R | 328 |
| modeloriented/ibreakdown | A tool for explaining predictions from machine learning models by attributing them to specific input variables and their interactions. | 82 |
 pbiecek/xaiaterum2020 | An R package and workshop materials for explaining machine learning models using explainable AI techniques | 52 |
 thomasp85/lime | An R package for providing explanations of predictions made by black box classifiers. | 486 |
| modeloriented/dalex | A tool to help understand and explain the behavior of complex machine learning models | 1,390 |
 marcotcr/anchor | Provides a method to generate explanations for predictions made by any black box classifier. | 798 |
 giuseppec/iml | Provides methods to interpret and explain the behavior of machine learning models | 494 |
 edgararuiz/tidypredict | An R package for translating predictive models into executable SQL queries to run predictions inside databases. | 2 |
 mi2datalab/pybreakdown | A Python implementation of a method to explain the predictions of machine learning models | 42 |
 explainx/explainx | A framework to explain and debug blackbox machine learning models with a single line of code. | 419 |
 lantanacamara/lightgbmexplainer | An R package to provide interpretability features for LightGBM models. | 23 |
 eli5-org/eli5 | A Python package for debugging and explaining predictions of machine learning classifiers | 265 |
 applieddatasciencepartners/xgboostexplainer | Provides tools to understand and interpret the decisions made by XGBoost models in machine learning | 253 |
 interpretml/dice | Provides counterfactual explanations for machine learning models to facilitate interpretability and understanding. | 1,373 |
 microprediction/timemachines | Provides a simple and unified interface to various univariate time-series prediction algorithms | 413 |