Hi, I'm using OpenNLP maxent to train a model. Features are either boolean or float. As I understand it, OpenNLP maxent want to to have a context in the form:
feature1=true feature2=3.5 feature3=false For example, this JIRA has an example of the context being a string that specifies the float values, and the float array also specifying the float values. https://issues.apache.org/jira/browse/OPENNLP-170 Constructing such a string is slow. I especially want to avoid constructing such a string when I an evaluating an instance against the model. Is there any way I can just use an array of float values for the evaluation? This is easy to create, and fast. 1.0, 3.5, 0.0 Peace. Michael
