You could use the API directly instead of writing to strings. On Wed, May 2, 2012 at 5:09 PM, Michael Schmitz <[email protected]>wrote:
> 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 > -- Jason Baldridge Associate Professor, Department of Linguistics The University of Texas at Austin http://www.jasonbaldridge.com http://twitter.com/jasonbaldridge
