November 2015
Intermediate to advanced
190 pages
4h 11m
English
We start with the standard simplistic tests that will serve to get the basic wiring up for our classifier. First, the test:
import NaiveBayes def no_observations_test(): classifier = NaiveBayes.Classifier() classification = classifier.classify(observation=23.2) assert classification is None, "Should not classify observations without training examples."
And then the code:
class Classifier:
def classify(self, observation):
passAs the next step to approach a solution, let's try the case where we've only observed the data from a single class:
def given_an_observation_for_a_single_class_test(): classifier = NaiveBayes.Classifier() classifier.train(classification='a class', observation=0) classification = classifier.classify(observation=23.2) ...