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explore:Simplifies Exploratory Data Analysis
Interactive data exploration with one line of code, automated reporting or use an easy to remember set of tidy functions for low code exploratory data analysis.
Maintained by Roland Krasser. Last updated 3 days ago.
data-explorationdata-visualisationdecision-treesedarmarkdownshinytidy
230 stars 11.36 score 221 scripts 1 dependentsmodeloriented
DALEXtra:Extension for 'DALEX' Package
Provides wrapper of various machine learning models. In applied machine learning, there is a strong belief that we need to strike a balance between interpretability and accuracy. However, in field of the interpretable machine learning, there are more and more new ideas for explaining black-box models, that are implemented in 'R'. 'DALEXtra' creates 'DALEX' Biecek (2018) <arXiv:1806.08915> explainer for many type of models including those created using 'python' 'scikit-learn' and 'keras' libraries, and 'java' 'h2o' library. Important part of the package is Champion-Challenger analysis and innovative approach to model performance across subsets of test data presented in Funnel Plot.
Maintained by Szymon Maksymiuk. Last updated 2 years ago.
67 stars 7.71 score 400 scripts 1 dependents