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Add new tests to learning.py #458

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109 changes: 108 additions & 1 deletion tests/test_learning.py
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Original file line number Diff line number Diff line change
@@ -1,7 +1,114 @@
import pytest

from learning import parse_csv, weighted_mode, weighted_replicate, DataSet, \
PluralityLearner, NaiveBayesLearner, NearestNeighborLearner, \
NeuralNetLearner, PerceptronLearner, DecisionTreeLearner
NeuralNetLearner, PerceptronLearner, DecisionTreeLearner, \
mean_error, rms_error, ms_error, manhattan_distance, \
mean_boolean_error, hamming_distance
from utils import DataFile
from math import sqrt


def test_ms_error():
predictions = [1, 1, 1]
targets = [1, 1, 1]

assert ms_error(predictions, targets) == 0

predictions = [1, 1, 1]
targets = [2, 2, 2]

assert ms_error(predictions, targets) == 1

predictions = [1, 1, 1, 1]
targets = [1, 3, 3, 1]

assert ms_error(predictions, targets) == 2


def test_mean_error():
predictions = [1, 1, 1]
targets = [1, 1, 1]

assert mean_error(predictions, targets) == 0

predictions = [1, 1, 1]
targets = [2, 2, 2]

assert mean_error(predictions, targets) == 1

predictions = [1, 1, 2, 1]
targets = [1, 3, 1, 1]

assert mean_error(predictions, targets) == 0.75


def test_rms_error():
predictions = [1, 1, 1]
targets = [1, 1, 1]

assert rms_error(predictions, targets) == 0

predictions = [1, 1, 1]
targets = [2, 2, 2]

assert rms_error(predictions, targets) == 1

predictions = [1, 1, 2, 1]
targets = [1, 2, 1, 1]

assert rms_error(predictions, targets) == pytest.approx(sqrt(0.5))
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@sofmonk sofmonk Apr 1, 2017

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pytest will have to be removed.



def test_manhattan_distance():
predictions = [1, 1, 1]
targets = [1, 1, 1]

assert manhattan_distance(predictions, targets) == 0

predictions = [1, 1, 1]
targets = [2, 2, 2]

assert manhattan_distance(predictions, targets) == 3

predictions = [1, 1, 2, 3]
targets = [1, 3, 1, 1]

assert manhattan_distance(predictions, targets) == 5


def test_mean_boolean_error():
predictions = [1, 1, 1]
targets = [1, 1, 1]

assert mean_boolean_error(predictions, targets) == 0

predictions = [1, 1, 1]
targets = [2, 2, 2]

assert mean_boolean_error(predictions, targets) == 1

predictions = [1, 1, 2, 3]
targets = [1, 3, 1, 2]

assert mean_boolean_error(predictions, targets) == 0.75


def test_hamming_distance():
predictions = [1, 1, 1]
targets = [1, 1, 1]

assert hamming_distance(predictions, targets) == 0

predictions = [1, 1, 1]
targets = [2, 2, 2]

assert hamming_distance(predictions, targets) == 3

predictions = [1, 1, 2, 3]
targets = [1, 3, 1, 1]

assert hamming_distance(predictions, targets) == 3


def test_exclude():
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