kinn: An Implementation of 'kinn' Algorithm, a Graph Based Regression Model
Version 0.2

A graph based regression model from flat unstructured dataset. Each line in the input data set is treated as a node from which an edge to another line (node) can be formed. In the training process, a model is created which contains sparse graph adjacency matrix. This model is then used for prediction by taking a predictor and the model as inputs and outputs a prediction which is an average of the most similar node and its neighbours in the model graph.

Getting started

Package details

AuthorYossi Keshet
Date of publication2016-07-27 11:57:38
MaintainerYossi Keshet <[email protected]>
LicenseGPL-3
Version0.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("kinn")

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kinn documentation built on April 14, 2017, 10:02 a.m.