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mucho changes to linear.py

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This commit is contained in:
James Hensman 2014-02-26 08:24:03 +00:00
parent e9957ed896
commit ec6e85b1c1
4 changed files with 32 additions and 32 deletions
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7
GPy/examples/dimensionality_reduction.py
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@ -274,6 +274,7 @@ def bgplvm_simulation(optimize=True, verbose=1,
_, _, Ylist = _simulate_sincos(D1, D2, D3, N, num_inducing, Q, plot_sim)
Y = Ylist[0]
k = kern.Linear(Q, ARD=True)# + kern.white(Q, _np.exp(-2)) # + kern.bias(Q)
#k = kern.RBF(Q, ARD=True, lengthscale=10.)
m = BayesianGPLVM(Y, Q, init="PCA", num_inducing=num_inducing, kernel=k)
if optimize:
@ -281,7 +282,7 @@ def bgplvm_simulation(optimize=True, verbose=1,
m.optimize('bfgs', messages=verbose, max_iters=max_iters,
gtol=.05)
if plot:
m.q.plot("BGPLVM Latent Space 1D")
m.X.plot("BGPLVM Latent Space 1D")
m.kern.plot_ARD('BGPLVM Simulation ARD Parameters')
return m
@ -302,7 +303,7 @@ def bgplvm_simulation_missing_data(optimize=True, verbose=1,
m = BayesianGPLVM(Y.copy(), Q, init="random", num_inducing=num_inducing, kernel=k)
m.inference_method = VarDTCMissingData()
m.Y[inan] = _np.nan
m.q.variance *= .1
m.X.variance *= .1
m.parameters_changed()
m.Yreal = Y
@ -311,7 +312,7 @@ def bgplvm_simulation_missing_data(optimize=True, verbose=1,
m.optimize('bfgs', messages=verbose, max_iters=max_iters,
gtol=.05)
if plot:
m.q.plot("BGPLVM Latent Space 1D")
m.X.plot("BGPLVM Latent Space 1D")
m.kern.plot_ARD('BGPLVM Simulation ARD Parameters')
return m