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

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
MaintainerYossi Keshet <[email protected]>
Package repositoryView on CRAN
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kinn documentation built on April 14, 2017, 10:02 a.m.