C++ Script

A fully-working, clearly-coded C++ script (about 1,000 lines including comments) using standard libraries to be adapted to accept a new form of dataset. It functions to classify documents using neural networks and bayesian methods. Basic knowledge of classifiers with specialty in these two is required although the classifiers have all been implemented already and no further implementation is necessary. I require some minor modifications to be done to the text processing which should be really easy but I'm lacking the time to do so. The code has been almost fully commented, I would just require some clarification on a few portions of it. And most important (the focus of this project), I would like the code to be refactored at the end for speed (target of one and a half times as fast as original) and an increased maintenability.

## Deliverables

1) Complete and fully-functional working program(s) in executable form as well as complete source code of all work done.

2) Deliverables must be in ready-to-run condition, as follows? (depending on the nature? of the deliverables):

a)? For web sites or? other server-side deliverables intended to only ever exist in one place in the Buyer's environment--Deliverables must be installed by the Seller in ready-to-run condition in the Buyer's environment.

b) For all others including desktop software or software the buyer intends to distribute: A software? installation package that will install the software in ready-to-run condition on the platform(s) specified in this bid request.

3) All deliverables will be considered "work made for hire" under U.S. Copyright law. Buyer will receive exclusive and complete copyrights to all work purchased. (No GPL, GNU, 3rd party components, etc. unless all copyright ramifications are explained AND AGREED TO by the buyer on the site per the coder's Seller Legal Agreement).

## Platform

RedHat Linux

C Programming Engineering MySQL PHP Software Architecture Software Testing

Project ID: #3949788

About the project