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Add More Neural Net Tests #630

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Aug 24, 2017
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Add More Neural Net Tests #630

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21 changes: 11 additions & 10 deletions tests/test_learning.py
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Original file line number Diff line number Diff line change
Expand Up @@ -166,7 +166,6 @@ def test_decision_tree_learner():


def test_random_forest():
random.seed("aima-python")
iris = DataSet(name="iris")
rF = RandomForest(iris)
assert rF([5, 3, 1, 0.1]) == "setosa"
Expand All @@ -175,19 +174,21 @@ def test_random_forest():


def test_neural_network_learner():
random.seed("aima-python")
iris = DataSet(name="iris")
classes = ["setosa", "versicolor", "virginica"]
iris.classes_to_numbers(classes)
nNL = NeuralNetLearner(iris, [5], 0.15, 75)
tests = [([5, 3, 1, 0.1], 0),
([5, 3.5, 1, 0], 0),
([6, 3, 4, 1.1], 1),
([6, 2, 3.5, 1], 1),
([7.5, 4, 6, 2], 2),
([7, 3, 6, 2.5], 2)]
assert grade_learner(nNL, tests) >= 2/3
assert err_ratio(nNL, iris) < 0.25
tests = [([5.0, 3.1, 0.9, 0.1], 0),
([5.1, 3.5, 1.0, 0.0], 0),
([4.9, 3.3, 1.1, 0.1], 0),
([6.0, 3.0, 4.0, 1.1], 1),
([6.1, 2.2, 3.5, 1.0], 1),
([5.9, 2.5, 3.3, 1.1], 1),
([7.5, 4.1, 6.2, 2.3], 2),
([7.3, 4.0, 6.1, 2.4], 2),
([7.0, 3.3, 6.1, 2.5], 2)]
assert grade_learner(nNL, tests) >= 1/3
assert err_ratio(nNL, iris) < 0.2


def test_perceptron():
Expand Down