mirror of
https://github.com/SheffieldML/GPy.git
synced 2026-05-30 14:35:15 +02:00
Various Py3 fixes
This commit is contained in:
parent
273beca272
commit
6d2393ae90
4 changed files with 14 additions and 14 deletions
|
|
@ -414,7 +414,7 @@ class DGPLVM_KFDA(Prior):
|
|||
def compute_cls(self, x):
|
||||
cls = {}
|
||||
# Appending each data point to its proper class
|
||||
for j in xrange(self.datanum):
|
||||
for j in range(self.datanum):
|
||||
class_label = self.get_class_label(self.lbl[j])
|
||||
if class_label not in cls:
|
||||
cls[class_label] = []
|
||||
|
|
@ -553,7 +553,7 @@ class DGPLVM(Prior):
|
|||
def compute_cls(self, x):
|
||||
cls = {}
|
||||
# Appending each data point to its proper class
|
||||
for j in xrange(self.datanum):
|
||||
for j in range(self.datanum):
|
||||
class_label = self.get_class_label(self.lbl[j])
|
||||
if class_label not in cls:
|
||||
cls[class_label] = []
|
||||
|
|
@ -572,7 +572,7 @@ class DGPLVM(Prior):
|
|||
# Adding data points as tuple to the dictionary so that we can access indices
|
||||
def compute_indices(self, x):
|
||||
data_idx = {}
|
||||
for j in xrange(self.datanum):
|
||||
for j in range(self.datanum):
|
||||
class_label = self.get_class_label(self.lbl[j])
|
||||
if class_label not in data_idx:
|
||||
data_idx[class_label] = []
|
||||
|
|
@ -591,7 +591,7 @@ class DGPLVM(Prior):
|
|||
else:
|
||||
lst_idx = []
|
||||
# Here we put indices of each class in to the list called lst_idx_all
|
||||
for m in xrange(len(data_idx[i])):
|
||||
for m in range(len(data_idx[i])):
|
||||
lst_idx.append(data_idx[i][m][0])
|
||||
lst_idx_all.append(lst_idx)
|
||||
return lst_idx_all
|
||||
|
|
@ -627,7 +627,7 @@ class DGPLVM(Prior):
|
|||
# pdb.set_trace()
|
||||
# Calculating Bi
|
||||
B_i[i] = (M_i[i] - M_0).reshape(1, self.dim)
|
||||
for k in xrange(self.datanum):
|
||||
for k in range(self.datanum):
|
||||
for i in data_idx:
|
||||
N_i = float(len(data_idx[i]))
|
||||
if k in lst_idx_all[i]:
|
||||
|
|
@ -772,7 +772,7 @@ class DGPLVM_T(Prior):
|
|||
def compute_cls(self, x):
|
||||
cls = {}
|
||||
# Appending each data point to its proper class
|
||||
for j in xrange(self.datanum):
|
||||
for j in range(self.datanum):
|
||||
class_label = self.get_class_label(self.lbl[j])
|
||||
if class_label not in cls:
|
||||
cls[class_label] = []
|
||||
|
|
@ -791,7 +791,7 @@ class DGPLVM_T(Prior):
|
|||
# Adding data points as tuple to the dictionary so that we can access indices
|
||||
def compute_indices(self, x):
|
||||
data_idx = {}
|
||||
for j in xrange(self.datanum):
|
||||
for j in range(self.datanum):
|
||||
class_label = self.get_class_label(self.lbl[j])
|
||||
if class_label not in data_idx:
|
||||
data_idx[class_label] = []
|
||||
|
|
@ -810,7 +810,7 @@ class DGPLVM_T(Prior):
|
|||
else:
|
||||
lst_idx = []
|
||||
# Here we put indices of each class in to the list called lst_idx_all
|
||||
for m in xrange(len(data_idx[i])):
|
||||
for m in range(len(data_idx[i])):
|
||||
lst_idx.append(data_idx[i][m][0])
|
||||
lst_idx_all.append(lst_idx)
|
||||
return lst_idx_all
|
||||
|
|
@ -846,7 +846,7 @@ class DGPLVM_T(Prior):
|
|||
# pdb.set_trace()
|
||||
# Calculating Bi
|
||||
B_i[i] = (M_i[i] - M_0).reshape(1, self.dim)
|
||||
for k in xrange(self.datanum):
|
||||
for k in range(self.datanum):
|
||||
for i in data_idx:
|
||||
N_i = float(len(data_idx[i]))
|
||||
if k in lst_idx_all[i]:
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue