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[plotting] magnification plot added

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This commit is contained in:
mzwiessele 2015-10-05 14:10:06 +01:00
parent 61dbde7a20
commit 0610903018
70 changed files with 294 additions and 409 deletions
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23
GPy/examples/dimensionality_reduction.py
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@ -343,6 +343,29 @@ def bgplvm_simulation(optimize=True, verbose=1,
m.kern.plot_ARD('BGPLVM Simulation ARD Parameters')
return m
def gplvm_simulation(optimize=True, verbose=1,
plot=True, plot_sim=False,
max_iters=2e4,
):
from GPy import kern
from GPy.models import GPLVM
D1, D2, D3, N, num_inducing, Q = 13, 5, 8, 45, 3, 9
_, _, Ylist = _simulate_matern(D1, D2, D3, N, num_inducing, 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 = GPLVM(Y, Q, init="PCA", kernel=k)
m.likelihood.variance = .1
if optimize:
print("Optimizing model:")
m.optimize('bfgs', messages=verbose, max_iters=max_iters,
gtol=.05)
if plot:
m.X.plot("BGPLVM Latent Space 1D")
m.kern.plot_ARD('BGPLVM Simulation ARD Parameters')
return m
def ssgplvm_simulation(optimize=True, verbose=1,
plot=True, plot_sim=False,
max_iters=2e4, useGPU=False