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.
| Version: |
0.2 |
| Depends: |
R (≥ 3.2.4) |
| Imports: |
stringr, igraph, KRLS, caTools, mclust, caret, stats, graphics |
| Published: |
2016-07-27 |
| Author: |
Yossi Keshet |
| Maintainer: |
Yossi Keshet <jossiekat at icloud.com> |
| BugReports: |
NA |
| License: |
GPL-3 |
| URL: |
NA |
| NeedsCompilation: |
no |
| CRAN checks: |
kinn results |
Downloads: