pyBreakDown
Model explainer
A Python implementation of a method to explain the predictions of machine learning models
Python implementation of R package breakDown
41 stars
6 watching
5 forks
Language: Python
last commit: over 1 year ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 modeloriented/ibreakdown | A tool for explaining predictions from machine learning models by attributing them to specific input variables and their interactions. | 81 |
 thomasp85/lime | An R package for providing explanations of predictions made by black box classifiers. | 485 |
 pbiecek/xaiaterum2020 | An R package and workshop materials for explaining machine learning models using explainable AI techniques | 52 |
| modeloriented/dalex | A tool to help understand and explain the behavior of complex machine learning models | 1,375 |
| modeloriented/modelstudio | A tool for creating interactive, model-agnostic explanations of machine learning models in R | 326 |
 rmarko/explainprediction | An R package for explaining the predictions made by machine learning models in data science applications. | 2 |
 eli5-org/eli5 | A Python package for debugging and explaining predictions of machine learning classifiers | 262 |
 marcelrobeer/explabox | An exploratory tool for analyzing and understanding machine learning models | 15 |
 sergioburdisso/pyss3 | A Python package implementing an interpretable machine learning model for text classification with visualization tools | 336 |
 ebhy/budgetml | Simplifies deployment of machine learning models to production-ready endpoints with minimal configuration and cost. | 1,338 |
 giuseppec/iml | Provides methods to interpret and explain the behavior of machine learning models | 492 |
 interpretml/dice | Provides counterfactual explanations for machine learning models to facilitate interpretability and understanding. | 1,364 |
 neulab/explainaboard | An interactive tool to analyze and compare the performance of natural language processing models | 361 |
 yinwang0/pysonar2 | A semantic indexer for Python code, enabling batch processing and interprocedural type inference to build indexes for code browsers and search engines. | 1,391 |
 jpeg729/pytorch_bits | An experimental framework for developing and testing deep learning models on time-series prediction tasks | 79 |