May 26, 2018
Backports of new features in the Python tempfile module
Yet another general purpose Naive Bayesian classifier. under heavy development
Naive Bayes Classifier is probably the most widely used text classifier, it’s a supervised learning algorithm. It can be used to classify blog posts or news articles into different categories like sports, entertainment and so forth.
Naive Bayes is a simple technique for constructing classifiers models that assign class labels to problem instances, represented as vectors of feature values, where the class labels are drawn from some finite set. It is not a single algorithm for training such classifiers, but a family of algorithms This package provides backports of new features in Python???s tempfile module under the backports namespace.