>>> import os
>>> from spammy import Spammy
>>>
>>> directory = '/home/tasdik/Dropbox/projects/spamfilter/data/corpus3'
>>>
>>> # directory structure
>>> os.listdir(directory)
['spam', 'Summary.txt', 'ham']
>>> os.listdir(os.path.join(directory, 'spam'))[:3]
['4257.2005-04-06.BG.spam.txt', '0724.2004-09-21.BG.spam.txt', '2835.2005-01-19.BG.spam.txt']
>>>
>>> # Spammy object created
>>> cl = Spammy(directory, limit=100)
>>> cl.train()
>>>
>>> SPAM_TEXT = \
... """
... My Dear Friend,
...
... How are you and your family? I hope you all are fine.
...
... My dear I know that this mail will come to you as a surprise, but it's for my
... urgent need for a foreign partner that made me to contact you for your sincere
... genuine assistance My name is Mr.Herman Hirdiramani, I am a banker by
... profession currently holding the post of Director Auditing Department in
... the Islamic Development Bank(IsDB)here in Ouagadougou, Burkina Faso.
...
... I got your email information through the Burkina's Chamber of Commerce
... and industry on foreign business relations here in Ouagadougou Burkina Faso
... I haven'disclose this deal to any body I hope that you will not expose or
... betray this trust and confident that I am about to repose on you for the
... mutual benefit of our both families.
...
... I need your urgent assistance in transferring the sum of Eight Million,
... Four Hundred and Fifty Thousand United States Dollars ($8,450,000:00) into
... your account within 14 working banking days This money has been dormant for
... years in our bank without claim due to the owner of this fund died along with
... his entire family and his supposed next of kin in an underground train crash
... since years ago. For your further informations please visit
... (http://news.bbc.co.uk/2/hi/5141542.stm)
... """
>>> cl.classify(SPAM_TEXT)
'spam'
>>>

>>> from spammy import Spammy
>>> directory = '/home/tasdik/Dropbox/projects/spammy/examples/training_dataset'
>>> cl = Spammy(directory, limit=300)  # training on only 300 spam and ham files
>>> cl.train()
>>> data_dir = '/home/tasdik/Dropbox/projects/spammy/examples/test_dataset'
>>>
>>> cl.accuracy(directory=data_dir, label='spam', limit=300)
0.9554794520547946
>>> cl.accuracy(directory=data_dir, label='ham', limit=300)
0.9033333333333333
>>>

>>> import timeit
>>> from spammy import Spammy
>>>
>>> directory = '/home/tasdik/Dropbox/projects/spamfilter/data/corpus3'
>>> cl = Spammy(directory, limit=100)
>>> cl.train()
>>> SPAM_TEXT_2 = \
... """
... INTERNATIONAL MONETARY FUND (IMF)
... DEPT: WORLD DEBT RECONCILIATION AGENCIES.
... ADVISE: YOUR OUTSTANDING PAYMENT NOTIFICATION
...
... Attention
... A power of attorney was forwarded to our office this morning by two gentle men,
... one of them is an American national and he is MR DAVID DEANE by name while the
... other person is MR... JACK MORGAN by name a CANADIAN national.
... This gentleman claimed to be your representative, and this power of attorney
... stated that you are dead; they brought an account to replace your information
... in other to claim your fund of (US$9.7M) which is now lying DORMANT and UNCLAIMED,
...  below is the new account they have submitted:
...                     BANK.-HSBC CANADA
...                     Vancouver, CANADA
...                     ACCOUNT NO. 2984-0008-66
...
... Be further informed that this power of attorney also stated that you suffered.
... """
>>>
>>> def classify_timeit():
...    result = cl.classify(SPAM_TEXT_2)
...
>>> timeit.repeat(classify_timeit, number=5)
[0.1810469627380371, 0.16121697425842285, 0.16121196746826172]
>>>