ExplainPrediction
by rmarko
R package ExplainPrediction
AI summary
Model explainer
An R package for explaining the predictions made by machine learning models in data science applications.
- stars
- 2
- forks
- 0
- watching
- 2
Similar projects
Found by comparing what the projects do, not just their names.
Model explainer
A tool for creating interactive, model-agnostic explanations of machine learning models in R
Model explainer
A tool for explaining predictions from machine learning models by attributing them to specific input variables and their interactions.
Explainer
An R package and workshop materials for explaining machine learning models using explainable AI techniques
Classifier explainer
An R package for providing explanations of predictions made by black box classifiers.
Model explainer
A tool to help understand and explain the behavior of complex machine learning models
Explainers
Provides a method to generate explanations for predictions made by any black box classifier.
Model explainer
Provides methods to interpret and explain the behavior of machine learning models
Prediction Engine
An R package for translating predictive models into executable SQL queries to run predictions inside databases.
Model explainer
A Python implementation of a method to explain the predictions of machine learning models
Model debugger
A framework to explain and debug blackbox machine learning models with a single line of code.
Model explainer
An R package to provide interpretability features for LightGBM models.
Predictive model debugger
A Python package for debugging and explaining predictions of machine learning classifiers
Model interpreter
Provides tools to understand and interpret the decisions made by XGBoost models in machine learning
interpretml/dice1.4K
Model explanations
Provides counterfactual explanations for machine learning models to facilitate interpretability and understanding.
Predictor
Provides a simple and unified interface to various univariate time-series prediction algorithms
