In thiloshon/rautoalgo: Automated Machine Learning System in R

knitr::opts_chunk$set(echo = TRUE)
suppressPackageStartupMessages(library(knitr))
suppressPackageStartupMessages(library(tools))

ML Plan

Type: r dataStore$mlPlan$type

Target Variable: r dataStore$mlPlan$target

Meta of Data

Number of classes: r dataStore$mlPlan$data.meta$number.of.classes

Size of majority class: r dataStore$mlPlan$data.meta$majority.class.size

Size of minority class: r dataStore$mlPlan$data.meta$minority.class.size

Number of features: r dataStore$mlPlan$data.meta$number.of.features

Number of numeric features: r dataStore$mlPlan$data.meta$number.of.numeric.features

Number of symbolic features: r dataStore$mlPlan$data.meta$number.of.symbolic.features

Number of records: r dataStore$mlPlan$data.meta$number.of.instances

Number of records with missing values: r dataStore$mlPlan$data.meta$number.of.instances.with.missing.values

Number of total missing values: r dataStore$mlPlan$data.meta$number.of.missing.values

Data Highlight:

tibble::tibble(dataStore$mlPlan$data)

ML Pipes

for (i in 1:length(dataStore$mlPlan$ml.pipelines)) {

    cat(paste('######################## ', dataStore$mlPlan$ml.pipelines[[i]]$id, ' ########################  \n',  sep = ''))
    cat('\n')

    dataStore$mlPlan$ml.pipelines[[i]]$printSelf()

}

References

Thiloshon Nagarajah and Guhanathan Poravi (2019). automlr: Automated Machine Learning in R. R package version 0.0.009.

R Core Team (2012). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org/

thiloshon/rautoalgo documentation built on Nov. 20, 2019, 3:22 a.m.