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[examples] dim red bgplvm with missing data

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Max Zwiessele 2014-11-05 17:39:10 +00:00
parent 03b6b399fe
commit 4e541d854e
1 changed files with 2 additions and 2 deletions
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4
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, max_iters=2e4,
): ):
from GPy import kern 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 D1, D2, D3, N, num_inducing, Q = 13, 5, 8, 400, 3, 4
_, _, Ylist = _simulate_matern(D1, D2, D3, N, num_inducing, plot_sim) _, _, 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 = Y.copy()
Ymissing[inan] = _np.nan 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) kernel=k, missing_data=True)
m.Yreal = Y m.Yreal = Y