6fbef6a3631d94991ab02a9f7411e3b6fd954dfc,tests/unittests_estimators.py,TestConditionalDensityEstimators_2d_gaussian,test_NKDE_with_2d_gaussian,#TestConditionalDensityEstimators_2d_gaussian#,92

Before Change

    model.fit(X, Y)

    y = np.arange(-1, 5, 0.5)
    x = np.asarray([2 for i in range(y.shape[0])])
    p_est = model.pdf(x, y)
    p_true = norm.pdf(y, loc=2, scale=1)
    self.assertLessEqual(np.mean(np.abs(p_true - p_est)), 0.1)

After Change

  def test_NKDE_with_2d_gaussian(self):
    mu = 5
    std = 2.0
    X = np.random.normal(loc=mu, scale=std, size=(4000, 2))
    Y = np.random.normal(loc=mu, scale=std, size=(4000, 2))

    model = NeighborKernelDensityEstimation(epsilon=0.3)
    model.fit(X, Y)

    y = np.random.uniform(low=[1.0, 1.0], high=[9.0, 9.0], size=(500, 2))
    x = np.ones(shape=(500,2)) * mu

    p_est = model.pdf(x, y)

Instances