diff --git a/.Rbuildignore b/.Rbuildignore index 8170a2b..d31c1d1 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -12,3 +12,5 @@ ^_pkgdown\.yml$ ^codecov\.yml$ modelStudio_my_test.R +^CRAN-RELEASE$ +^cran-comments\.md$ diff --git a/.gitignore b/.gitignore index f298bc7..2b26005 100644 --- a/.gitignore +++ b/.gitignore @@ -1,5 +1,9 @@ my_tests.R +# CRAN +CRAN-RELEASE +cran-comments.md + # History files .Rhistory .Rapp.history diff --git a/DESCRIPTION b/DESCRIPTION index 8f0047a..2ba6e1d 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,5 +1,5 @@ Package: modelStudio -Title: Interactive Studio with Explanations for ML Models +Title: Interactive Studio with Explanations for ML Predictive Models Version: 0.1.6 Authors@R: c(person("Hubert", "Baniecki", role = c("aut", "cre"), email = "hbaniecki@gmail.com"), @@ -7,11 +7,11 @@ Authors@R: comment = c(ORCID = "0000-0001-8423-1823"))) Description: Automate explanation of machine learning predictive models. This package generates advanced interactive and animated model explanations in the form - of serverless HTML site. It combines R with D3.js to produce plots and descriptions + of serverless HTML site. It combines 'R' with 'D3.js' to produce plots and descriptions for local and global explanations. The whole is greater than the sum of its parts, - so it also supports EDA on top of that. ModelStudio is a fast and condensed way to get - all the answers without much effort. Break down your model and look into its ingredients - with only a few lines of code. + so it also supports EDA (Exploratory Data Analysis) on top of that. 'modelStudio' is + a fast and condensed way to get all the answers without much effort. + Break down your model and look into its ingredients with only a few lines of code. Depends: R (>= 3.5.0) License: GPL Encoding: UTF-8 diff --git a/README.md b/README.md index b9651aa..ea63fd3 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -# modelStudio: Interactive Studio with Explanations for ML Models +# modelStudio: Interactive Studio with Explanations for ML Predictive Models [![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active) [![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/modelStudio)](https://cran.r-project.org/package=modelStudio) @@ -11,9 +11,9 @@ The `modelStudio` package automates explanation of machine learning predictive m It combines **R** with **D3.js** to produce plots and descriptions for local and global explanations. The whole is greater than the sum of its parts, -so it also supports EDA on top of that. ModelStudio is a fast and condensed way to get -all the answers without much effort. Break down your model and look into its ingredients -with only a few lines of code. +so it also supports EDA (Exploratory Data Analysis) on top of that. `modelStudio` is +a fast and condensed way to get all the answers without much effort. Break down your model +and look into its ingredients with only a few lines of code. [See a demo](https://modeloriented.github.io/modelStudio/demo.html)   [Read the vignette: modelStudio - perks and features](https://modeloriented.github.io/modelStudio/articles/vignette_modelStudio.html) diff --git a/docs/articles/vignette_modelStudio.html b/docs/articles/vignette_modelStudio.html index f6d5785..a66d06c 100644 --- a/docs/articles/vignette_modelStudio.html +++ b/docs/articles/vignette_modelStudio.html @@ -94,7 +94,7 @@

modelStudio - perks and features

Hubert Baniecki

-

2019-08-30

+

2019-09-01

Source: vignettes/vignette_modelStudio.Rmd diff --git a/docs/index.html b/docs/index.html index d63391b..8ae6113 100644 --- a/docs/index.html +++ b/docs/index.html @@ -5,19 +5,19 @@ -Interactive Studio with Explanations for ML Models • modelStudio +Interactive Studio with Explanations for ML Predictive Models • modelStudio - + + so it also supports EDA (Exploratory Data Analysis) on top of that. 'modelStudio' is + a fast and condensed way to get all the answers without much effort. + Break down your model and look into its ingredients with only a few lines of code.">