net.myrrix.online.generation

Class UnreducedModel

java.lang.Object

net.myrrix.online.generation.UnreducedModel

public final class UnreducedModel
extends Object

Normally, the input to the recommender is construed as a very large sparse matrix, and factored (approximately) as two low-rank user-feature / feature-item matrices. The input's dimensionality is reduced in this way.

But it's possible that one (or both) dimensions is already low; maybe there are only 30 items in the model to begin with. There is no point in constructing a lower-dimension approximation since it is already low dimension. In this case, the factorization is trivial: the user-item matrix is already a tall/skinny matrix which can be thought of as the user-feature matrix, and the "feature-item" matrix is just the identity matrix. Or vice versa if there are few users.

This utility program will read input and output the result as a model.bin.gz file suitable for use with the Serving Layer, without dimensionality reduction. Of course, this should only be done if the dimensionality of one or both is in fact low!

Usage: UnreducedModel [input file dir]

Author:

Sean Owen

Method Summary

Methods

Modifier and Type	Method and Description
static void	main(String[] args)
static void	writeUnreducedModel(File inputDir)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

main

public static void main(String[] args)
                 throws Exception

Throws:

Exception

writeUnreducedModel

public static void writeUnreducedModel(File inputDir)
                                throws IOException

Throws:

IOException