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add plot_latent to sparse_gplvm

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This commit is contained in:
Zhenwen Dai 2014-07-02 14:23:56 +01:00
parent f16db00438
commit a7d0438731
1 changed files with 13 additions and 0 deletions
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13
GPy/models/sparse_gplvm.py
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@ -32,3 +32,16 @@ class SparseGPLVM(SparseGPRegression):
def parameters_changed(self):
super(SparseGPLVM, self).parameters_changed()
self.X.gradient = self.kern.gradients_X(self.grad_dict['dL_dKnm'], self.X, self.Z)
def plot_latent(self, labels=None, which_indices=None,
resolution=50, ax=None, marker='o', s=40,
fignum=None, plot_inducing=True, legend=True,
plot_limits=None,
aspect='auto', updates=False, predict_kwargs={}, imshow_kwargs={}):
assert "matplotlib" in sys.modules, "matplotlib package has not been imported."
from ..plotting.matplot_dep import dim_reduction_plots
return dim_reduction_plots.plot_latent(self, labels, which_indices,
resolution, ax, marker, s,
fignum, plot_inducing, legend,
plot_limits, aspect, updates, predict_kwargs, imshow_kwargs)