view tests/test_sigmoid.py @ 80:3c7927f59b05

notes to self re deep neural networks
author Jeff Hammel <k0scist@gmail.com>
date Sun, 17 Dec 2017 13:43:42 -0800
parents 38aa9098bf2d
children
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#!/usr/bin/env python

"""
test sigmoid related functionality
"""

import os
import unittest
from tvii.sigmoid import sigmoid, sigmoidprime


class TestSigmoid(unittest.TestCase):

    def test_basic(self):
        """test two points of the sigmoid function"""

        answer = sigmoid([0,2])
        assert len(answer) == 2
        assert answer[0] == 0.5
        assert abs(answer[1] - 0.88079708) < 1e-6

    def test_derivative(self):

        self.assertAlmostEqual(sigmoidprime(0), 0.25)

if __name__ == '__main__':
    unittest.main()