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correcterd minor errors (imports etc)

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Max Zwiessele 2013-09-04 10:02:38 +01:00
parent acb06941b4
commit 7a68950e3e
4 changed files with 6 additions and 4 deletions
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2
GPy/examples/regression.py
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@ -163,7 +163,7 @@ def multiple_optima(gene_number=937, resolution=80, model_restarts=10, seed=1000
data['Y'] = data['Y'] - np.mean(data['Y'])
lls = GPy.examples.regression._contour_data(data, length_scales, log_SNRs, GPy.kern.rbf)
pb.contour(length_scales, log_SNRs, np.exp(lls), 20, cmap=pb.cm.jet)
pb.contour(length_scales, log_SNRs, np.exp(lls), 20, cmap=pb.cm.jet) # @UndefinedVariable
ax = pb.gca()
pb.xlabel('length scale')
pb.ylabel('log_10 SNR')

1
GPy/kern/kern.py
View file

@ -8,6 +8,7 @@ from parts.kernpart import Kernpart
import itertools
from parts.prod import Prod as prod
from matplotlib.transforms import offset_copy
import GPy
class kern(Parameterized):
def __init__(self, input_dim, parts=[], input_slices=None):

5
GPy/kern/parts/kernpart.py
View file

@ -1,5 +1,6 @@
# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy
class Kernpart(object):
@ -72,5 +73,5 @@ class Kernpart_inner(Kernpart):
Kernpart.__init__(self, input_dim)
# initialize cache
self._Z, self._mu, self._S = np.empty(shape=(3, 1))
self._X, self._X2, self._params = np.empty(shape=(3, 1))
self._Z, self._mu, self._S = numpy.empty(shape=(3, 1))
self._X, self._X2, self._params = numpy.empty(shape=(3, 1))

2
GPy/util/datasets.py
View file

@ -518,7 +518,7 @@ def simulation_BGPLVM():
Y = np.array(mat_data['Y'], dtype=float)
S = np.array(mat_data['initS'], dtype=float)
mu = np.array(mat_data['initMu'], dtype=float)
return data_details_return({'S': S, 'Y': Y, 'mu': mu}, data_set)
return data_details_return({'S': S, 'Y': Y, 'mu': mu}, mat_data)
return {'Y': Y, 'S': S,
'mu' : mu,
'info': "Simulated test dataset generated in MATLAB to compare BGPLVM between python and MATLAB"}