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kern plotting with axisa

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This commit is contained in:
Max Zwiessele 2013-04-11 15:47:18 +01:00
parent e99993b8ce
commit dcbd76a6ee
3 changed files with 31 additions and 21 deletions
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16
GPy/models/mrd.py
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@ -8,6 +8,8 @@ from GPy.models.Bayesian_GPLVM import Bayesian_GPLVM
import numpy
from GPy.models.sparse_GP import sparse_GP
import itertools
from matplotlib import pyplot
import pylab
class MRD(model):
@ -103,17 +105,17 @@ class MRD(model):
def _set_params(self, x):
start = 0; end = self.NQ
X = x[start:end].reshape(self.N, self.Q)
X = x[start:end].reshape(self.N, self.Q).copy()
start = end; end += start
X_var = x[start:end].reshape(self.N, self.Q)
X_var = x[start:end].reshape(self.N, self.Q).copy()
start = end; end += self.MQ
Z = x[start:end].reshape(self.M, self.Q)
Z = x[start:end].reshape(self.M, self.Q).copy()
thetas = x[end:]
# set params for all others:
for g, s, e in itertools.izip(self.bgplvms, self.nparams, self.nparams[1:]):
self._set_var_params(g, X, X_var, Z)
self._set_kern_params(g, thetas[s:e])
self._set_kern_params(g, thetas[s:e].copy())
g._compute_kernel_matrices()
g._computations()
@ -135,5 +137,7 @@ class MRD(model):
for g in self.bgplvms[1:]])))
def plot_scales(self):
pass
fig = pylab.figure("MRD Scales", figsize=(4 * len(self.bgplvms), 3))
for i, g in enumerate(self.bgplvms):
ax = fig.add_subplot(1, len(self.bgplvms), i + 1)
g.kern.plot_ARD(ax=ax)