apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-05-05 09:42:39 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

plotting, allot of plotting

Browse source
This commit is contained in:
mzwiessele 2014-03-20 16:20:39 +00:00
parent 6f9c97ee72
commit ce728d8465
9 changed files with 97 additions and 39 deletions
Download patch file Download diff file Expand all files Collapse all files

14
GPy/models/bayesian_gplvm.py
View file

@ -72,15 +72,19 @@ class BayesianGPLVM(SparseGP):
self.variational_prior.update_gradients_KL(self.X)
def plot_latent(self, plot_inducing=True, *args, **kwargs):
"""
See GPy.plotting.matplot_dep.dim_reduction_plots.plot_latent
"""
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, **kwargs):
import sys
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, plot_inducing=plot_inducing, *args, **kwargs)
return dim_reduction_plots.plot_latent(self, labels, which_indices,
resolution, ax, marker, s,
fignum, plot_inducing, legend,
plot_limits, aspect, updates, **kwargs)
def do_test_latents(self, Y):
"""

16
GPy/models/gplvm.py
View file

@ -67,12 +67,22 @@ class GPLVM(GP):
assert self.likelihood.Y.shape[1] == 2
pb.scatter(self.likelihood.Y[:, 0], self.likelihood.Y[:, 1], 40, self.X[:, 0].copy(), linewidth=0, cmap=pb.cm.jet) # @UndefinedVariable
Xnew = np.linspace(self.X.min(), self.X.max(), 200)[:, None]
mu, var, upper, lower = self.predict(Xnew)
mu, _ = self.predict(Xnew)
pb.plot(mu[:, 0], mu[:, 1], 'k', linewidth=1.5)
def plot_latent(self, *args, **kwargs):
def plot_latent(self, labels=None, which_indices=None,
resolution=50, ax=None, marker='o', s=40,
fignum=None, legend=True,
plot_limits=None,
aspect='auto', updates=False, **kwargs):
import sys
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, *args, **kwargs)
return dim_reduction_plots.plot_latent(self, labels, which_indices,
resolution, ax, marker, s,
fignum, False, legend,
plot_limits, aspect, updates, **kwargs)
def plot_magnification(self, *args, **kwargs):
return util.plot_latent.plot_magnification(self, *args, **kwargs)