def __init__(self, username, password, folders=['commercial', 'friends']):
g = Gmail(username, password)
# gather data from our e-mail
msg_data = {}
for folder_name in folders:
msg_data[folder_name] = g.get_all_messages_from_folder(folder_name)
nb = NaiveBayesClassifier()
nb.train_from_data(msg_data)
print nb.probability("elephant", 'friends')
print nb.probability("elephant", 'commercial')
def __init__(self, username, password, folders=['commercial','friends']):
g = Gmail(username, password)
# gather data from our e-mail
msg_data = {}
for folder_name in folders:
msg_data[folder_name] = g.get_all_messages_from_folder(folder_name)
nb = NaiveBayesClassifier()
nb.train_from_data(msg_data)
print nb.probability("elephant", 'friends')
print nb.probability("elephant", 'commercial')
#!/usr/bin/env python
# encoding: utf-8
"""
get_candidates.py
"""
import sys, os
from gmail import Gmail
if __name__ == '__main__':
g = Gmail("*****@*****.**", "montaigne")
folder_name = 'candidates'
msgs = g.get_all_messages_from_folder(folder_name)
for msg in msgs:
print "message: %s" % (msg)
