Beispiel #1
0
    def check_forward(self, x_data):
        xp = cuda.get_array_module(x_data)
        y = maximum_entropy_mellowmax(x_data)
        self.assertEqual(y.data.dtype, self.dtype)

        print('y', y.data)

        # Outputs must be positive
        xp.testing.assert_array_less(xp.zeros_like(y.data), y.data)

        # Sums must be ones
        sums = xp.sum(y.data, axis=1)
        testing.assert_allclose(sums, xp.ones_like(sums))

        # Expectations must be equal to memllowmax's outputs
        testing.assert_allclose(xp.sum(y.data * x_data, axis=1),
                                mellowmax(x_data, axis=1).data)
Beispiel #2
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 def all_prob(self):
     with chainer.force_backprop_mode():
         return mellowmax.maximum_entropy_mellowmax(self.values)
Beispiel #3
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 def all_prob(self):
     return mellowmax.maximum_entropy_mellowmax(self.values)