5570e82943d70be03ea18b34a650590884cca02e,GPy/examples/regression.py,,uncertain_inputs_sparse_regression,#Any#,369

Before Change

    //likelihood = GPy.likelihoods.Gaussian(Y)
    Z = np.random.uniform(-3.,3.,(7,1))

    k = GPy.kern.rbf(1) + GPy.kern.white(1)

    // create simple GP Model - no input uncertainty on this one
    m = GPy.models.SparseGPRegression(X, Y, kernel=k, Z=Z)
    m.optimize("scg", messages=1, max_f_eval=optim_iters)

After Change

    // likelihood = GPy.likelihoods.Gaussian(Y)
    Z = np.random.uniform(-3., 3., (7, 1))

    k = GPy.kern.rbf(1)

    // create simple GP Model - no input uncertainty on this one
    m = GPy.models.SparseGPRegression(X, Y, kernel=k, Z=Z)
    m.optimize("scg", messages=1, max_f_eval=optim_iters)

Instances