test_learning.py

from learning import parse_csv, weighted_mode, weighted_replicate, DataSet, \
                     PluralityLearner, NaiveBayesLearner, NearestNeighborLearner
from utils import DataFile


def test_parse_csv():
    Iris = DataFile('iris.csv').read()
    assert parse_csv(Iris)[0] == [5.1, 3.5, 1.4, 0.2, 'setosa']


def test_weighted_mode():
    assert weighted_mode('abbaa', [1, 2, 3, 1, 2]) == 'b'


def test_weighted_replicate():
    assert weighted_replicate('ABC', [1, 2, 1], 4) == ['A', 'B', 'B', 'C']


def test_plurality_learner():
    zoo = DataSet(name="zoo")

    pL = PluralityLearner(zoo)
    assert pL([]) == "mammal"


def test_naive_bayes():
    iris = DataSet(name="iris")

    nB = NaiveBayesLearner(iris)
    assert nB([5, 3, 1, 0.1]) == "setosa"


def test_k_nearest_neighbors():
    iris = DataSet(name="iris")

    kNN = NearestNeighborLearner(iris, k=3)
    assert kNN([5, 3, 1, 0.1]) == "setosa"