def constructFromFile(self, fileName):
patternIDdict = misc.list2dict(self._data.labels.patternID,
range(len(self._data)))
labels = Labels(fileName)
patterns = []
pairs = []
for i in range(len(labels)):
p1, p2 = labels.patternID[i].split('_')
# add only pairs for which we have kernel data:
if p1 in patternIDdict and p2 in patternIDdict:
pairs.append((patternIDdict[p1], patternIDdict[p2]))
patterns.append(i)
else:
print p1, ' or ', p2, 'not found'
labels = labels.__class__(labels, patterns=patterns)
self.pairs = pairs
first = [pair[0] for pair in pairs]
second = [pair[1] for pair in pairs]
firstVector = arrayWrap.intVector([pair[0] for pair in pairs])
secondVector = arrayWrap.intVector([pair[1] for pair in pairs])
self.callConstructor(firstVector, secondVector)
WrapperDataSet.attachLabels(self, labels)
def __init__(self, arg=None, **args):
if arg.__class__ == self.__class__:
self.copyConstruct(arg, **args)
elif type(arg) == type(''):
self.constructFromFile(arg, **args)
WrapperDataSet.attachKernel(self)
def constructFromFile(self, fileName, **args) :
if 'data' not in args :
raise ValueError, 'missing data object'
self._data = args['data']
patternIDdict = misc.list2dict(self._data.labels.patternID,
range(len(self._data)))
labels = Labels(fileName)
patterns = []
pairs = []
for i in range(len(labels)) :
p1,p2 = labels.patternID[i].split('_')
# add only pairs for which we have kernel data:
if p1 in patternIDdict and p2 in patternIDdict :
pairs.append((patternIDdict[p1],patternIDdict[p2]))
patterns.append(i)
else :
print p1, ' or ', p2, 'not found'
labels = labels.__class__(labels, patterns = patterns)
self.pairs = pairs
first = [pair[0] for pair in pairs]
second = [pair[1] for pair in pairs]
firstVector = arrayWrap.intVector([pair[0] for pair in pairs])
secondVector = arrayWrap.intVector([pair[1] for pair in pairs])
self.callConstructor(firstVector, secondVector)
WrapperDataSet.attachLabels(self, labels)
def constructFromFile(self, fileName):
patternIDdict = misc.list2dict(self._data.labels.patternID, range(len(self._data)))
labels = Labels(fileName)
patterns = []
pairs = []
for i in range(len(labels)):
p1, p2 = labels.patternID[i].split("_")
# add only pairs for which we have kernel data:
if p1 in patternIDdict and p2 in patternIDdict:
pairs.append((patternIDdict[p1], patternIDdict[p2]))
patterns.append(i)
else:
print p1, " or ", p2, "not found"
labels = labels.__class__(labels, patterns=patterns)
self.pairs = pairs
first = [pair[0] for pair in pairs]
second = [pair[1] for pair in pairs]
firstVector = arrayWrap.intVector([pair[0] for pair in pairs])
secondVector = arrayWrap.intVector([pair[1] for pair in pairs])
self.callConstructor(firstVector, secondVector)
WrapperDataSet.attachLabels(self, labels)
def __init__(self, arg=None, **args):
if arg.__class__ == self.__class__:
self.copyConstruct(arg, **args)
elif type(arg) == type(""):
self.constructFromFile(arg, **args)
WrapperDataSet.attachKernel(self)
def fromArray(self, datas, **args) :
self.checkDatas(datas)
self.pydatas = datas
if 'weights' in args :
self.pyweights = args['weights']
for i in range(len(self.pyweights)) :
self.pyweights[i] = float(self.pyweights[i])
assert len(self.pyweights) == len(self.pydatas)
else :
self.pyweights = [1.0 / len(self.pydatas) for i in range(len(self.pydatas))]
caggregate.Aggregate.__init__(self, len(self.pydatas[0]), tuple(self.pyweights))
#self._addDatas()
WrapperDataSet.attachLabels(self, self.pydatas[0].labels)
self.attachKernel('linear')
def constructFromFile(self, file_name, **args) :
if 'data' not in args :
raise ValueError, 'missing data object'
self._data = args['data']
id_dict = misc.list2dict(self._data.labels.patternID,
range(len(self._data)))
file_handle = open(file_name)
L = []
sets = []
for line in file_handle :
tokens = line.split()
sets.append([id_dict[token] for token in tokens[:-1] ])
L.append(tokens[-1])
self.n = len(sets)
self.callConstructor(len(sets))
for s in sets :
self.add(tuple(s))
labels = Labels(L)
WrapperDataSet.attachLabels(self, labels)
