From b6bac53da815f7cd5e7920d3faac58cc1c9424a6 Mon Sep 17 00:00:00 2001 From: Neil Lawrence Date: Sun, 5 May 2013 07:59:07 +0100 Subject: [PATCH] Minor changes --- GPy/core/model.py | 7 ++++--- GPy/examples/dimensionality_reduction.py | 4 ++-- 2 files changed, 6 insertions(+), 5 deletions(-) diff --git a/GPy/core/model.py b/GPy/core/model.py index 25c10b42..ef05a2cb 100644 --- a/GPy/core/model.py +++ b/GPy/core/model.py @@ -416,9 +416,10 @@ class model(parameterised): """ return an array describing the sesitivity of the model to each input - NB. Right now, we're basing this on the lengthscales (or variances) of the kernel. - TODO: proper sensitivity analysis - """ + NB. Right now, we're basing this on the lengthscales (or + variances) of the kernel. TODO: proper sensitivity analysis + where we integrate across the model inputs and evaluate the + effect on the variance of the model output. """ if not hasattr(self, 'kern'): raise ValueError, "this model has no kernel" diff --git a/GPy/examples/dimensionality_reduction.py b/GPy/examples/dimensionality_reduction.py index 75820407..931e2eed 100644 --- a/GPy/examples/dimensionality_reduction.py +++ b/GPy/examples/dimensionality_reduction.py @@ -82,11 +82,11 @@ def BGPLVM_oil(optimize=True, N=100, Q=10, M=15, max_f_eval=300): m.ensure_default_constraints() y = m.likelihood.Y[0, :] - fig,(latent_axes,hist_axes) = plt.subplots(1,2) + fig,(latent_axes,sense_axes) = plt.subplots(1,2) plt.sca(latent_axes) m.plot_latent() data_show = GPy.util.visualize.vector_show(y) - lvm_visualizer = GPy.util.visualize.lvm_dimselect(m.X[0, :], m, data_show, latent_axes=latent_axes, hist_axes=hist_axes) + lvm_visualizer = GPy.util.visualize.lvm_dimselect(m.X[0, :], m, data_show, latent_axes=latent_axes, sense_axes=sense_axes) raw_input('Press enter to finish') plt.close('all') # # plot