示例#1
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    def calculateRMinusY(self, instance: Instance, inputVector: Vector,
                         weights: Matrix) -> Vector:
        """
        The calculateRMinusY method creates a new Vector with given Instance, then it multiplies given
        input Vector with given weights Matrix. After normalizing the output, it return the difference between the newly
        created Vector and normalized output.

        PARAMETERS
        ----------
        instance : Instance
            Instance is used to get class labels.
        inputVector : Vector
            Vector to multiply weights.
        weights : Matrix
            Matrix of weights

        RETURNS
        -------
        Vector
            Difference between newly created Vector and normalized output.
        """
        r = Vector()
        r.initAllZerosExceptOne(
            self.K, self.classLabels.index(instance.getClassLabel()), 1.0)
        o = weights.multiplyWithVectorFromRight(inputVector)
        y = self.normalizeOutput(o)
        return r.difference(y)
示例#2
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    def calculateOneMinusHidden(self, hidden: Vector) -> Vector:
        """
        The calculateOneMinusHidden method takes a {@link java.util.Vector} as input. It creates a Vector of ones and
         returns the difference between given Vector.

        PARAMETERS
        ----------
        hidden : Vector
            Vector to find difference.

        RETURNS
        -------
        Vector
            Returns the difference between ones Vector and input Vector.
        """
        one = Vector()
        one.initAllSame(hidden.size(), 1.0)
        return one.difference(hidden)
示例#3
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class VectorTest(unittest.TestCase):
    data1 = [2, 3, 4, 5, 6]

    def setUp(self):
        data2 = [8, 7, 6, 5, 4]
        self.smallVector1 = Vector(self.data1)
        self.smallVector2 = Vector(data2)
        largeData1 = []
        for i in range(1, 1001):
            largeData1.append(i)
        self.largeVector1 = Vector(largeData1)
        largeData2 = []
        for i in range(1, 1001):
            largeData2.append(1000 - i + 1)
        self.largeVector2 = Vector(largeData2)

    def test_Biased(self):
        biased = self.smallVector1.biased()
        self.assertEqual(1, biased.getValue(0))
        self.assertEqual(self.smallVector1.size() + 1, biased.size())

    def test_ElementAdd(self):
        self.smallVector1.add(7)
        self.assertEqual(7, self.smallVector1.getValue(5))
        self.assertEqual(6, self.smallVector1.size())
        self.smallVector1.remove(5)

    def test_Insert(self):
        self.smallVector1.insert(3, 6)
        self.assertEqual(6, self.smallVector1.getValue(3))
        self.assertEqual(6, self.smallVector1.size())
        self.smallVector1.remove(3)

    def test_Remove(self):
        self.smallVector1.remove(2)
        self.assertEqual(5, self.smallVector1.getValue(2))
        self.assertEqual(4, self.smallVector1.size())
        self.smallVector1.insert(2, 4)

    def test_SumOfElementsSmall(self):
        self.assertEqual(20, self.smallVector1.sumOfElements())
        self.assertEqual(30, self.smallVector2.sumOfElements())

    def test_SumOfElementsLarge(self):
        self.assertEqual(20, self.smallVector1.sumOfElements())
        self.assertEqual(30, self.smallVector2.sumOfElements())
        self.assertEqual(500500, self.largeVector1.sumOfElements())
        self.assertEqual(500500, self.largeVector2.sumOfElements())

    def test_MaxIndex(self):
        self.assertEqual(4, self.smallVector1.maxIndex())
        self.assertEqual(0, self.smallVector2.maxIndex())

    def test_Sigmoid(self):
        smallVector3 = Vector(self.data1)
        smallVector3.sigmoid()
        self.assertAlmostEqual(0.8807971, smallVector3.getValue(0), 6)
        self.assertAlmostEqual(0.9975274, smallVector3.getValue(4), 6)

    def test_SkipVectorSmall(self):
        smallVector3 = self.smallVector1.skipVector(2, 0)
        self.assertEqual(2, smallVector3.getValue(0))
        self.assertEqual(6, smallVector3.getValue(2))
        smallVector3 = self.smallVector1.skipVector(3, 1)
        self.assertEqual(3, smallVector3.getValue(0))
        self.assertEqual(6, smallVector3.getValue(1))

    def test_SkipVectorLarge(self):
        largeVector3 = self.largeVector1.skipVector(2, 0)
        self.assertEqual(250000, largeVector3.sumOfElements())
        largeVector3 = self.largeVector1.skipVector(5, 3)
        self.assertEqual(100300, largeVector3.sumOfElements())

    def test_VectorAddSmall(self):
        self.smallVector1.addVector(self.smallVector2)
        self.assertEqual(50, self.smallVector1.sumOfElements())
        self.smallVector1.subtract(self.smallVector2)

    def test_VectorAddLarge(self):
        self.largeVector1.addVector(self.largeVector2)
        self.assertEqual(1001000, self.largeVector1.sumOfElements())
        self.largeVector1.subtract(self.largeVector2)

    def test_SubtractSmall(self):
        self.smallVector1.subtract(self.smallVector2)
        self.assertEqual(-10, self.smallVector1.sumOfElements())
        self.smallVector1.addVector(self.smallVector2)

    def test_SubtractLarge(self):
        self.largeVector1.subtract(self.largeVector2)
        self.assertEqual(0, self.largeVector1.sumOfElements())
        self.largeVector1.addVector(self.largeVector2)

    def test_DifferenceSmall(self):
        smallVector3 = self.smallVector1.difference(self.smallVector2)
        self.assertEqual(-10, smallVector3.sumOfElements())

    def test_DifferenceLarge(self):
        largeVector3 = self.largeVector1.difference(self.largeVector2)
        self.assertEqual(0, largeVector3.sumOfElements())

    def test_DotProductWithVectorSmall(self):
        dotProduct = self.smallVector1.dotProduct(self.smallVector2)
        self.assertEqual(110, dotProduct)

    def test_DotProductWithVectorLarge(self):
        dotProduct = self.largeVector1.dotProduct(self.largeVector2)
        self.assertEqual(167167000, dotProduct)

    def test_DotProductWithItselfSmall(self):
        dotProduct = self.smallVector1.dotProductWithSelf()
        self.assertEqual(90, dotProduct)

    def test_DotProductWithItselfLarge(self):
        dotProduct = self.largeVector1.dotProductWithSelf()
        self.assertEqual(333833500, dotProduct)

    def test_ElementProductSmall(self):
        smallVector3 = self.smallVector1.elementProduct(self.smallVector2)
        self.assertEqual(110, smallVector3.sumOfElements())

    def test_ElementProductLarge(self):
        largeVector3 = self.largeVector1.elementProduct(self.largeVector2)
        self.assertEqual(167167000, largeVector3.sumOfElements())

    def test_Divide(self):
        self.smallVector1.divide(10.0)
        self.assertEqual(2, self.smallVector1.sumOfElements())
        self.smallVector1.multiply(10.0)

    def test_Multiply(self):
        self.smallVector1.multiply(10.0)
        self.assertEqual(200, self.smallVector1.sumOfElements())
        self.smallVector1.divide(10.0)

    def test_Product(self):
        smallVector3 = self.smallVector1.product(7.0)
        self.assertEqual(140, smallVector3.sumOfElements())

    def test_L1NormalizeSmall(self):
        self.smallVector1.l1Normalize()
        self.assertEqual(1.0, self.smallVector1.sumOfElements())
        self.smallVector1.multiply(20)

    def test_L1NormalizeLarge(self):
        self.largeVector1.l1Normalize()
        self.assertEqual(1.0, self.largeVector1.sumOfElements())
        self.largeVector1.multiply(500500)

    def test_L2NormSmall(self):
        norm = self.smallVector1.l2Norm()
        self.assertEqual(norm, math.sqrt(90))

    def test_L2NormLarge(self):
        norm = self.largeVector1.l2Norm()
        self.assertEqual(norm, math.sqrt(333833500))

    def test_cosineSimilaritySmall(self):
        similarity = self.smallVector1.cosineSimilarity(self.smallVector2)
        self.assertAlmostEqual(0.8411910, similarity, 6)

    def test_cosineSimilarityLarge(self):
        similarity = self.largeVector1.cosineSimilarity(self.largeVector2)
        self.assertAlmostEqual(0.5007497, similarity, 6)