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[mrd] plot_scales and plot_latent added

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Max Zwiessele 2016-03-01 10:02:02 +00:00
parent c4020cd2eb
commit 885d3722cc
8 changed files with 112 additions and 148 deletions
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4
GPy/examples/dimensionality_reduction.py
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@ -459,7 +459,7 @@ def mrd_simulation(optimize=True, verbose=True, plot=True, plot_sim=True, **kw):
D1, D2, D3, N, num_inducing, Q = 60, 20, 36, 60, 6, 5
_, _, Ylist = _simulate_sincos(D1, D2, D3, N, num_inducing, plot_sim)
k = kern.Linear(Q) + kern.White(Q, variance=1e-4)
k = kern.Linear(Q, ARD=True) + kern.White(Q, variance=1e-4)
m = MRD(Ylist, input_dim=Q, num_inducing=num_inducing, kernel=k, initx="PCA_concat", initz='permute', **kw)
m['.*noise'] = [Y.var() / 40. for Y in Ylist]
@ -479,7 +479,7 @@ def mrd_simulation_missing_data(optimize=True, verbose=True, plot=True, plot_sim
D1, D2, D3, N, num_inducing, Q = 60, 20, 36, 60, 6, 5
_, _, Ylist = _simulate_matern(D1, D2, D3, N, num_inducing, plot_sim)
k = kern.Linear(Q) + kern.White(Q, variance=1e-4)
k = kern.Linear(Q, ARD=True) + kern.White(Q, variance=1e-4)
inanlist = []
for Y in Ylist: