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add new feature about inferene X given Y

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Zhenwen Dai 2014-10-13 13:40:10 +01:00
parent ffefaf66fb
commit c98b1b76e0
7 changed files with 65 additions and 26 deletions
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10
GPy/plotting/matplot_dep/dim_reduction_plots.py
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@ -12,6 +12,16 @@ try:
except:
pass
def plot_latent_interactive(model, labels=None, **kwargs):
fig, (latent_axes, sense_axes) = pb.subplots(1, 2)
model.plot_latent(ax=latent_axes, labels=labels, **kwargs)
from .visualize import vector_show,lvm_dimselect
data_show = vector_show((model.Y[0,:]))
lvm_visualizer = lvm_dimselect(param_to_array(model.X.mean)[0:1,:], # @UnusedVariable
model, data_show, latent_axes=latent_axes, sense_axes=sense_axes, labels=labels)
raw_input('Press enter to finish')
pb.close(fig)
def most_significant_input_dimensions(model, which_indices):
"""
Determine which dimensions should be plotted