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an ugly hack to work around the 'stickiness' of ObservableArray. TODO: remove this hack

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This commit is contained in:
James Hensman 2014-02-13 11:34:23 +00:00
parent 6d30a11ae8
commit 83d3389644
2 changed files with 8 additions and 0 deletions
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4
GPy/inference/latent_function_inference/dtc.py
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@ -22,6 +22,10 @@ class DTC(object):
def inference(self, kern, X, X_variance, Z, likelihood, Y): def inference(self, kern, X, X_variance, Z, likelihood, Y):
assert X_variance is None, "cannot use X_variance with DTC. Try varDTC." assert X_variance is None, "cannot use X_variance with DTC. Try varDTC."
#TODO: MAX! fix this!
from ...util.misc import param_to_array
Y = param_to_array(Y)
num_inducing, _ = Z.shape num_inducing, _ = Z.shape
num_data, output_dim = Y.shape num_data, output_dim = Y.shape

4
GPy/inference/latent_function_inference/fitc.py
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@ -20,6 +20,10 @@ class FITC(object):
def inference(self, kern, X, X_variance, Z, likelihood, Y): def inference(self, kern, X, X_variance, Z, likelihood, Y):
assert X_variance is None, "cannot use X_variance with FITC. Try varDTC." assert X_variance is None, "cannot use X_variance with FITC. Try varDTC."
#TODO: MAX! fix this!
from ...util.misc import param_to_array
Y = param_to_array(Y)
num_inducing, _ = Z.shape num_inducing, _ = Z.shape
num_data, output_dim = Y.shape num_data, output_dim = Y.shape