Esempio n. 1
0
    def test_simple_som(self):
        colors = np.array(
            [
                [0.0, 0.0, 0.0],
                [0.0, 0.0, 1.0],
                [0.0, 1.0, 0.0],
                [1.0, 0.0, 0.0],
                [0.0, 1.0, 1.0],
                [1.0, 0.0, 1.0],
                [1.0, 1.0, 0.0],
                [1.0, 1.0, 1.0],
            ]
        )

        # only small SOM for speed reasons
        som = SimpleSOMMapper((10, 5), 200, learning_rate=0.05)

        # no acces when nothing is there
        self.failUnlessRaises(RuntimeError, som._access_kohonen)

        som.train(colors)

        fmapped = som.forward(colors)
        self.failUnless(fmapped.shape == (8, 2))

        # reverse mapping
        rmapped = som.reverse(fmapped)

        if cfg.getboolean("tests", "labile", default="yes"):
            # should approximately restore the input, but could fail
            # with bad initialisation
            self.failUnless((np.round(rmapped) == colors).all())
Esempio n. 2
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    def testSimpleSOM(self):
        colors = [[0., 0., 0.], [0., 0., 1.], [0., 1., 0.],
                  [1., 0., 0.], [0., 1., 1.], [1., 0., 1.],
                  [1., 1., 0.], [1., 1., 1.]]
        ds = Dataset(samples=colors, labels=1)

        # only small SOM for speed reasons
        som = SimpleSOMMapper((10, 5), 200, learning_rate=0.05)

        # no acces when nothing is there
        self.failUnlessRaises(RuntimeError, som._accessKohonen)
        self.failUnlessRaises(RuntimeError, som.getInSize)
        self.failUnlessRaises(RuntimeError, som.getOutSize)

        som.train(ds)

        self.failUnless(som.getInSize() == 3)
        self.failUnless(som.getOutSize() == (10,5))

        fmapped = som(colors)
        self.failUnless(fmapped.shape == (8, 2))
        for fm in fmapped:
            self.failUnless(som.isValidOutId(fm))

        # reverse mapping
        rmapped = som.reverse(fmapped)

        if cfg.getboolean('tests', 'labile', default='yes'):
            # should approximately restore the input, but could fail
            # with bas initialisation
            self.failUnless((N.round(rmapped) == ds.samples).all())
Esempio n. 3
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    def test_simple_som(self):
        colors = np.array([[0., 0., 0.], [0., 0., 1.], [0., 1., 0.],
                          [1., 0., 0.], [0., 1., 1.], [1., 0., 1.],
                          [1., 1., 0.], [1., 1., 1.]])

        # only small SOM for speed reasons
        som = SimpleSOMMapper((10, 5), 200, learning_rate=0.05)

        # no acces when nothing is there
        self.failUnlessRaises(RuntimeError, som._access_kohonen)

        som.train(colors)

        fmapped = som(colors)
        self.failUnless(fmapped.shape == (8, 2))

        # reverse mapping
        rmapped = som.reverse(fmapped)

        if cfg.getboolean('tests', 'labile', default='yes'):
            # should approximately restore the input, but could fail
            # with bad initialisation
            self.failUnless((np.round(rmapped) == colors).all())