def __init__(self, feats=Feats()):
self.feats = feats
self.le = preprocessing.LabelEncoder()
self.cls = struct_perceptron.StructuredPerceptron(self,
max_iter=25,
average=True,
verbose=True)
def __init__(self, epochs=10, batch_size=8, feats=Feats()):
self.feats = feats
from sklearn import preprocessing
self.le = preprocessing.LabelEncoder()
self.cls = struct_perceptron.StructuredPerceptron(
self,
max_iter=epochs,
batch_size=batch_size,
average=True,
verbose=True)
# max_len is set to be longer than any sentences in trainset
# if you want to use smaller number, you may need to need to spend some time debugging
self.max_len = 40
self.batch_size = batch_size
def __init__(self, feats = Feats()):
self.feats = feats
self.le = preprocessing.LabelEncoder()
self.cls = struct_perceptron.StructuredPerceptron(self, max_iter=24, average=True, verbose=True)#, decay_t0=-0.05, decay_exponent=1)
