Added ipython notebook showing how to fit a maximum entropy model for fixed length strings via persistent contrastive divergence. Shows how to create a Gibbs sampler over strings, running persistent contrastive divergence to fit a MaxEnt model, and running MaxEnt on a set of words found in the real world (the wikipedia article "Machine Learning").
Added ipython notebook showing how to fit a maximum entropy model for fixed length strings via persistent contrastive divergence. Shows how to create a Gibbs sampler over strings, running persistent contrastive divergence to fit a MaxEnt model, and running MaxEnt on a set of words found in the real world (the wikipedia article "Machine Learning").