public void test() throws Exception {
/*
* Read the test dataset. Each of the test instance is encapsulated in the
* object which provides DataSequence interface.
*/
/*
* Once you have loaded the test dataset, you need to allocate objects
* for the model to be learned. allocmodel() method does that allocation.
* Also, you need to read learned parameters from the disk stored after
* training. If the model is already available in the memory, then you do
* not need to reallocate the model i.e. you can skip the next step in that
* case.
*/
allocModel();
featureGen.read(baseDir+"/learntModels/"+outDir+"/features");
crfModel.read(baseDir+"/learntModels/"+outDir+"/crf");
/*
* Iterate over test data set and apply the crf model to each test instance.
*/
while(...) {
/*
* Now apply CRF model to each test instance.
*/
crfModel.apply(testRecord);
/*
* The labeled instance have value of the states as labels.
* These state values are not labels as supplied during training.
* To map this state to one of the labels you need to call following
* method on the labled testRecord.
*/
featureGen.mapStatesToLabels(testRecord);
}
}
