class Trainer(object):
"""docstring for Trainer"""
def __init__(self, tokenizer):
super(Trainer, self).__init__()
self.tokenizer = tokenizer
self.data = TrainedData()
def train(self, text, className):
"""
enhances trained data using the given text and class
"""
self.data.increaseClass(className)
tokens = self.tokenizer.tokenize(text)
for token in tokens:
self.data.increaseToken(token, className)
class Trainer(object):
"""docstring for Trainer"""
def __init__(self, tokenizer):
super(Trainer, self).__init__()
self.tokenizer = tokenizer
self.data = TrainedData()
def train(self, text, className):
"""
enhances trained data using the given text and class
"""
self.data.increaseClass(className)
tokens = self.tokenizer.tokenize(text)
for token in tokens:
token = self.tokenizer.remove_stop_words(token)
token = self.tokenizer.remove_punctuation(token)
self.data.increaseToken(token, className)
class Trainer(object):
"""docstring for Trainer"""
def __init__(self, tokenizer):
super(Trainer, self).__init__()
self.tokenizer = tokenizer
self.data = TrainedData()
def train(self, text, className):
"""
enhances trained data using the given text and class
"""
#tokens = self.tokenizer.tokenize(text)
with open(text, 'rb') as csvfile:
reader = csv.reader(csvfile, delimiter=';')
for row in reader:
for cell in row:
if cell == "class":
className = row[1]
self.data.increaseClass(className)
break
self.data.increaseToken(cell, className)
def __init__(self, tokenizer):
super(Trainer, self).__init__()
self.tokenizer = tokenizer
self.data = TrainedData()
def __init__(self, tokenizer):
super(Trainer, self).__init__()
self.tokenizer = tokenizer
self.data = TrainedData()
