# Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles

## Overview

Code for the experiments performed in the above study involving the use of natural gradient descent for training RBMs.

This code is available under the BSD License.

## Setup instructions

The code depends on the clap package. The clap package should be
build and ready to use before building this code.

The main igo-code/ directory should be placed alongside the clap/
package directory or the Makefile CLAP_DIRECTORY variable should
be set to the location of the clap package directory.

## Building

The main executable “optim-rbms” can then be build using the following
command: $make Example runs can be found in the “example-runs.sh” script and can be run using:$ ./example-runs.sh

The results of running experiments are placed in the data/ directory
and can be plotted using the scripts in the plotresults directory.
results.

## Running experiments

experiments can be run using the “optim-rbms” executable. This executable accepts many optional parameters if you wish to override their default value. Here is an example below

The possible parameters and their default values are given below: