Enrollments Open for Advanced Certification Courses on Data Science, ML & AI by E&ICT Academy IIT RoorkeeApply Now
In this step, we will fetch the dataset from the SpamAssassin website.
In the first step, we will import 3 libraries; namely
import os import tarfile import urllib
os module provides a portable way of using operating system dependent functionality like reading or writing a file, manipulating paths, etc. The
tarfile module is used to read and write tar archives. This is a form of archive file like Zip. The
urllib is a package that collects several modules for working with URLs.
Next, we will set the paths for downloading the ham and spam datasets:
DOWNLOAD_ROOT = "http://spamassassin.apache.org/old/publiccorpus/" HAM_URL = DOWNLOAD_ROOT + "20030228_easy_ham.tar.bz2" SPAM_URL = DOWNLOAD_ROOT + "20030228_spam.tar.bz2" SPAM_PATH = os.path.join("datasets", "spam")
Now we will define a function called fetch_spam_data which will take 2 input, the spam and ham paths that we had set above:
def << your code goes here >>>(spam_url=SPAM_URL, spam_path=SPAM_PATH): if not os.path.isdir(spam_path): os.makedirs(spam_path) for filename, url in (("ham.tar.bz2", HAM_URL), ("spam.tar.bz2", SPAM_URL)): path = os.path.join(spam_path, filename) if not os.path.isfile(path): urllib.request.urlretrieve(url, path) tar_bz2_file = tarfile.open(path) tar_bz2_file.extractall(path=SPAM_PATH) tar_bz2_file.close()
The above function does 2 things. First, it checks if the directory datasets/spam exists, if it does not then it creates that directory. Second, it fetches the data from the url given above using the
urllib module, and extracts the same in the directory created in the previous step using the
No hints are availble for this assesment
Answer is not availble for this assesment
Note - Having trouble with the assessment engine? Follow the steps listed here