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Merge branch 'devel' of github.com:SheffieldML/GPy into devel

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This commit is contained in:
Alan Saul 2014-11-05 17:43:37 +00:00
commit 17cca3c555
7 changed files with 79 additions and 261 deletions
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9
GPy/examples/dimensionality_reduction.py
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@ -368,7 +368,7 @@ def bgplvm_simulation_missing_data(optimize=True, verbose=1,
max_iters=2e4,
):
from GPy import kern
from GPy.models import BayesianGPLVM
from GPy.models.bayesian_gplvm_minibatch import BayesianGPLVMMiniBatch
D1, D2, D3, N, num_inducing, Q = 13, 5, 8, 400, 3, 4
_, _, Ylist = _simulate_matern(D1, D2, D3, N, num_inducing, plot_sim)
@ -379,7 +379,7 @@ def bgplvm_simulation_missing_data(optimize=True, verbose=1,
Ymissing = Y.copy()
Ymissing[inan] = _np.nan
m = BayesianGPLVM(Ymissing, Q, init="random", num_inducing=num_inducing,
m = BayesianGPLVMMiniBatch(Ymissing, Q, init="random", num_inducing=num_inducing,
kernel=k, missing_data=True)
m.Yreal = Y
@ -624,7 +624,10 @@ def cmu_mocap(subject='35', motion=['01'], in_place=True, optimize=True, verbose
if in_place:
# Make figure move in place.
data['Y'][:, 0:3] = 0.0
m = GPy.models.GPLVM(data['Y'], 2, normalize_Y=True)
Y = data['Y']
Y_mean = Y.mean(0)
Y_std = Y.std(0)
m = GPy.models.GPLVM((Y-Y_mean)/Y_std, 2)
if optimize: m.optimize(messages=verbose, max_f_eval=10000)
if plot: