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