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Test the exception conditions (#1853)

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* Text exception conditions

These are ValueErrors, not AttributeErrors.

* fixup! Format Python code with psf/black push

* Update perceptron.py

* Update perceptron.py

* Update perceptron.py

* Revert the test

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Christian Clauss 2020-04-13 02:10:21 +02:00 committed by GitHub
parent 3735e74296
commit 7ebe2b9593
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1 changed files with 17 additions and 6 deletions
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23
neural_network/perceptron.py
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@ -19,17 +19,28 @@ class Perceptron:
:param learning_rate: learning rate used in optimizing.
:param epoch_number: number of epochs to train network on.
:param bias: bias value for the network.
>>> p = Perceptron([], (0, 1, 2))
Traceback (most recent call last):
...
ValueError: Sample data can not be empty
>>> p = Perceptron(([0], 1, 2), [])
Traceback (most recent call last):
...
ValueError: Target data can not be empty
>>> p = Perceptron(([0], 1, 2), (0, 1))
Traceback (most recent call last):
...
ValueError: Sample data and Target data do not have matching lengths
"""
self.sample = sample
if len(self.sample) == 0:
raise AttributeError("Sample data can not be empty")
raise ValueError("Sample data can not be empty")
self.target = target
if len(self.target) == 0:
raise AttributeError("Target data can not be empty")
raise ValueError("Target data can not be empty")
if len(self.sample) != len(self.target):
raise AttributeError(
"Sample data and Target data do not have matching lengths"
)
raise ValueError("Sample data and Target data do not have matching lengths")
self.learning_rate = learning_rate
self.epoch_number = epoch_number
self.bias = bias
@ -98,7 +109,7 @@ class Perceptron:
classification: P...
"""
if len(self.sample) == 0:
raise AttributeError("Sample data can not be empty")
raise ValueError("Sample data can not be empty")
sample.insert(0, self.bias)
u = 0
for i in range(self.col_sample + 1):