def stick_bgplvm(model=None, optimize=True, verbose=True, plot=True):
    from GPy.models import BayesianGPLVM
    from matplotlib import pyplot as plt
    import numpy as np
    import GPy
    import pods

    data = pods.datasets.osu_run1()
    Q = 6
    kernel = GPy.kern.RBF(Q, lengthscale=np.repeat(.5, Q), ARD=True)
    m = BayesianGPLVM(data['Y'], Q, init="PCA", num_inducing=20, kernel=kernel)

    m.data = data
    m.likelihood.variance = 0.001

    # optimize
    try:
        if optimize: m.optimize('bfgs', messages=verbose, max_iters=5e3, bfgs_factor=10)
    except KeyboardInterrupt:
        print("Keyboard interrupt, continuing to plot and return")

    if plot:
        fig, (latent_axes, sense_axes) = plt.subplots(1, 2)
        plt.sca(latent_axes)
        m.plot_latent(ax=latent_axes)
        y = m.Y[:1, :].copy()
        data_show = GPy.plotting.matplot_dep.visualize.stick_show(y, connect=data['connect'])
        dim_select = GPy.plotting.matplot_dep.visualize.lvm_dimselect(m.X.mean[:1, :].copy(), m, data_show, latent_axes=latent_axes, sense_axes=sense_axes)
        fig.canvas.draw()
        # Canvas.show doesn't work on OSX.
        #fig.canvas.show()
        raw_input('Press enter to finish')

    return m
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dataset/ETHPy150Open SheffieldML/GPy/GPy/examples/dimensionality_reduction.py/stick_bgplvm--crossover with--dataset/ETHPy150Open Net-ng/kansha/kansha/services/assetsmanager.py/AssetsManager.copy