thmavri

#determine the labels
import pyvw #vw python interface

DEST  = 1
PROP = 2
FAC = 3

...
#create the class for the Sequence Labeler
class SequenceLabeler(pyvw.SearchTask):

thmavri

#create an index of all the words (words2idx)
...
#create an index of all the labels (labels2idx)
...
#query to classify
q="hotel amsterdam wifi"
#labels to use "prop", "dest", "fac"

#this will contain all our training data
matrix=[]

thmavri

#query to classify
q="hotel amsterdam wifi"
#labels to use "prop", "dest", "fac"

#this will contain all our training data
trainer = ner_trainer("total_word_feature_extractor.dat")

#split the string to words
#you can use whatever tokenizer
q_list=string_to_clasify.split()