[OPENNLP-258] Refactor cross validation and training code to always use the new Training Parameters object

• Type: Improvement
• Status: Closed
• Priority: Trivial
• Resolution: Fixed
• Fix Version/s: tools-1.5.2-incubating
• Assignee: Jörn Kottmann
• Reporter: Jörn Kottmann
• Created: 22/Aug/11 10:27
• Updated: 29/Aug/11 11:08
• Resolved: 29/Aug/11 11:08

Description

For backward compatibility OpenNLP still needs to support the direct passing of the iterations and cutoff params to many methods in code which is related to training a component. The iterations and cutoff of parameters should always be wrapped in a Training Parameters object, and then the new methods should be called.