In CorradoLanera/goldrake: Gold-standard hero

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goldrake

The goal of goldrake is to provide an environment to create gold-standard databases for a classification task.

Installation

You can install the development version from GitHub with the following procedure:

# install.packages("devtools")
devtools::install_github("CorradoLanera/goldrake")

Usage

The intended is divided in multiple step.

Setup

library(goldrake)
mtcars_gr <- goldrake(mtcars) %>% 
   set_gold_classes(c("good", "bad", "so and so")) %>% 
   balance_groups_by(vs, am) %>% 
   # max_sample_each_group(5) %>% # DOES IT WORTH TO BE IMPLEMENTED??
   add_reviewer("Corrado", "Lanera")

mtcars_gr

You can add reviewer in any moment (even if the previous ones have already started to classify objects).

mtcars_gr %>% 
   add_reviewer("Daniele", "Bottigliengo")      # it asks for a password

Classify

## if it is not the first time
# mtcars_gr <- read_goldrake("mtcars_gr.goldrake")

# start the interactive classification session 
mtcars_gr %>% 
    classify_by("Corrado")             # it asks for reviewer's password

At the end of the session, if the stored goldrake was updated by other reviewer(s), the information will be merged together.

Collect results

# load_goldrake("mtcars_gr.goldrake") # if it is not already loaded

classified_mtcars <- mtcars_gr %>% 
    extract_classified_tbl()

is.data.frame(classified_mtcars)

CODE OF CONDUCT

Please note that the goldrake project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

CorradoLanera/goldrake documentation built on May 30, 2019, 3:07 a.m.