cmu_mocap() example mostly working except some fiddling with axes for visualization. Also changes to naming of scaling and offset parameters in GP.py and deal with the case where the scale parameter is zero.

This commit is contained in:
Neil Lawrence 2013-04-27 10:39:55 +01:00
parent d7ac1d025b
commit ac842d51e6
6 changed files with 202 additions and 98 deletions

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@ -19,8 +19,6 @@ class GP(model):
:parm likelihood: a GPy likelihood
:param normalize_X: whether to normalize the input data before computing (predictions will be in original scales)
:type normalize_X: False|True
:param normalize_Y: whether to normalize the input data before computing (predictions will be in original scales)
:type normalize_Y: False|True
:param Xslices: how the X,Y data co-vary in the kernel (i.e. which "outputs" they correspond to). See (link:slicing)
:rtype: model object
:param epsilon_ep: convergence criterion for the Expectation Propagation algorithm, defaults to 0.1