.. image:: https://img.shields.io/pypi/v/soft404.svg :target: https://pypi.python.org/pypi/soft404 :alt: PyPI Version
.. image:: https://img.shields.io/travis/TeamHG-Memex/soft404/master.svg :target: http://travis-ci.org/TeamHG-Memex/soft404 :alt: Build Status
.. image:: http://codecov.io/github/TeamHG-Memex/soft404/coverage.svg?branch=master :target: http://codecov.io/github/TeamHG-Memex/soft404?branch=master :alt: Code Coverage
A "soft" 404 page is a page that is served with 200 status, but is really a page that says that content is not available.
Note: you may want to check out https://github.com/dogancanbakir/soft-404 which has support for newer library and python versions, and has a model which was independently re-trained.
.. contents::
::
pip install soft404
The easiest way is to use the soft404.probability
function::
>>> import soft404
>>> soft404.probability('<h1>Page not found</h1>')
0.9736860086882132
You can also create a classifier explicitly::
>>> from soft404 import Soft404Classifier
>>> clf = Soft404Classifier()
>>> clf.predict('<h1>Page not found</h1>')
0.9736860086882132
Classifier is trained on 120k pages from 25k domains, with 404 page ratio of about 1/3. With 10-fold cross-validation, PR AUC (average precision) is 0.990 ± 0.003, and ROC AUC is 0.995 ± 0.002.
Getting data for training +++++++++++++++++++++++++
Install dev requirements::
pip install -r requirements_dev.txt
Run the crawler for a while (results will appear in pages.jl.gz
file)::
cd crawler
scrapy crawl spider -o gzip:pages.jl -s JOBDIR=job
Training ++++++++
First, extract text and structure from html::
./soft404/convert_to_text.py pages.jl.gz items
This will produce two files, items.meta.jl.gz
and items.items.jl.gz
.
Next, train the classifier::
./soft404/train.py items
Vectorizer takes a while to run, but it's result is cached (the filename where it is cached will be printed on the next run). If you are happy with results, save the classifier::
./soft404/train.py items --save soft404/clf.joblib
License is MIT.
.. image:: https://hyperiongray.s3.amazonaws.com/define-hg.svg :target: https://www.hyperiongray.com/?pk_campaign=github&pk_kwd=soft404 :alt: define hyperiongray