Showing 7 of total 7 results (show query)
rstudio
r2d3:Interface to 'D3' Visualizations
Suite of tools for using 'D3', a library for producing dynamic, interactive data visualizations. Supports translating objects into 'D3' friendly data structures, rendering 'D3' scripts, publishing 'D3' visualizations, incorporating 'D3' in R Markdown, creating interactive 'D3' applications with Shiny, and distributing 'D3' based 'htmlwidgets' in R packages.
Maintained by Nick Strayer. Last updated 3 years ago.
72.0 match 519 stars 11.88 score 498 scripts 10 dependents
modeloriented
auditor:Model Audit - Verification, Validation, and Error Analysis
Provides an easy to use unified interface for creating validation plots for any model. The 'auditor' helps to avoid repetitive work consisting of writing code needed to create residual plots. This visualizations allow to asses and compare the goodness of fit, performance, and similarity of models.
Maintained by Alicja Gosiewska. Last updated 1 years ago.
classificationerror-analysisexplainable-artificial-intelligencemachine-learningmodel-validationregression-modelsresidualsxai
20.7 match 58 stars 8.76 score 94 scripts 2 dependents
cjyetman
network.r2d3:Makes interactive network graphs using r2d3
Makes interactive network graphs using r2d3.
Maintained by CJ Yetman. Last updated 7 months ago.
d3data-visualizationinteractive-visualizationsr2d3
52.0 match 3 stars 3.48 score 1 scripts
rmi-pacta
pacta.interactive.plot:What the Package Does (One Line, Title Case)
What the package does (one paragraph).
Maintained by CJ Yetman. Last updated 8 months ago.
d3data-visualizationinteractive-visualizationspactar2d3
11.0 match 2 stars 5.16 score 7 scripts 1 dependentsmodeloriented
ingredients:Effects and Importances of Model Ingredients
Collection of tools for assessment of feature importance and feature effects. Key functions are: feature_importance() for assessment of global level feature importance, ceteris_paribus() for calculation of the what-if plots, partial_dependence() for partial dependence plots, conditional_dependence() for conditional dependence plots, accumulated_dependence() for accumulated local effects plots, aggregate_profiles() and cluster_profiles() for aggregation of ceteris paribus profiles, generic print() and plot() for better usability of selected explainers, generic plotD3() for interactive, D3 based explanations, and generic describe() for explanations in natural language. The package 'ingredients' is a part of the 'DrWhy.AI' universe (Biecek 2018) <arXiv:1806.08915>.
Maintained by Przemyslaw Biecek. Last updated 2 years ago.
5.1 match 37 stars 10.38 score 83 scripts 22 dependentsmodeloriented
iBreakDown:Model Agnostic Instance Level Variable Attributions
Model agnostic tool for decomposition of predictions from black boxes. Supports additive attributions and attributions with interactions. The Break Down Table shows contributions of every variable to a final prediction. The Break Down Plot presents variable contributions in a concise graphical way. This package works for classification and regression models. It is an extension of the 'breakDown' package (Staniak and Biecek 2018) <doi:10.32614/RJ-2018-072>, with new and faster strategies for orderings. It supports interactions in explanations and has interactive visuals (implemented with 'D3.js' library). The methodology behind is described in the 'iBreakDown' article (Gosiewska and Biecek 2019) <arXiv:1903.11420> This package is a part of the 'DrWhy.AI' universe (Biecek 2018) <arXiv:1806.08915>.
Maintained by Przemyslaw Biecek. Last updated 1 years ago.
breakdownimlinterpretabilityshapleyxai
3.4 match 84 stars 10.07 score 56 scripts 22 dependents
feddelegrand7
ddplot:Create D3 Based SVG Graphics
Create 'D3' based 'SVG' ('Scalable Vector Graphics') graphics using a simple 'R' API. The package aims to simplify the creation of many 'SVG' plot types using a straightforward 'R' API. The package relies on the 'r2d3' 'R' package and the 'D3' 'JavaScript' library. See <https://rstudio.github.io/r2d3/> and <https://d3js.org/> respectively.
Maintained by Mohamed El Fodil Ihaddaden. Last updated 2 years ago.
2.4 match 44 stars 5.64 score 7 scripts