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[dim_reduce examples] updated robot_wireless
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@ -499,9 +499,8 @@ def robot_wireless(optimize=True, verbose=True, plot=True):
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data = GPy.util.datasets.robot_wireless()
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# optimize
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m = GPy.models.GPLVM(data['Y'], 2)
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m = GPy.models.BayesianGPLVM(data['Y'], 4, num_inducing=25)
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if optimize: m.optimize(messages=verbose, max_f_eval=10000)
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m._set_params(m._get_params())
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if plot:
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m.plot_latent()
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