In ChrisKeefe/UnsupLP1: A sample package exposing some functions for Unspervised Learning

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UnsupLP1

UnsupLP1 is a sample package written for CS599 - Unsupervised Learning, which demonstrates my ability to:

• build an R package
• implement, run, and test functions in R related to Unsupervised Learning
• set up Travis for CI checks on each commit
• Adequately document a package to allow reasonable ease of use

Installation

You can install a development version of this package from GitHub with:

# install.packages("devtools")
devtools::install_github("ChrisKeefe/UnsupLP1")

Usage

Here are some basic examples of how to use the functions in this package. For more complete usage information, please see the function documentation.

library(UnsupLP1)
## basic example code
# Cluster the iris data set into three clusters:
KMEANS(iris[1:4], K=3)

# Split a data matrix into 80% TRAIN and 20% TEST
split_train_and_test(iris, train.prop=0.8, test.prop=0.2)

ChrisKeefe/UnsupLP1 documentation built on Oct. 8, 2020, 5:37 a.m.