def __init__(self, m = None, ranges = None):
if not m is None:
if not isinstance(m, (int, long, float, complex)):
raise TypeError("Expecting number got" + str(m.__class__))
self.m = m
if not ranges is None:
if not isinstance(ranges, list):
raise TypeError("Expecting list got" + str(m.__class__))
self.description = DataSetDescription()
self.description.setMinVector(DenseVector(size = len(ranges)))
max = DenseVector(size = len(ranges))
for i in range(max.size()):
max.set(i, ranges[i] - 1)
self.description.setMaxVector(max)
# Initialize other variables for use
self.dt = None
self.root = None
def __init__ (self, data = None, label = None, weight = None, ds = None, val = None, i = None, o = None, b = None):
#print "Instance.__init__.Parameters: " + "data: " + str(data) + " label: " + str(label) + " weight: " + str(weight) + " ds: " + str(ds) + " val: " + str(val)
if not data is None:
if not isinstance(data, Vector):
raise TypeError('Vector Class Required: ' + str(data.__class__))
self.data = data # Vector
if not label is None:
if not isinstance(label, Instance):
raise TypeError ('Instance Required for all Labels: ' + str(label.__class__))
self.label = label # Instance
if not ds is None:
if not isinstance(ds, list):
raise TypeError('Array of "doubles" required here: ' + str(ds.__class__))
self.data = DenseVector(data = ds)
if not val is None:
if not isinstance(val, (int, long, float, complex)):
raise TypeError('Expected a number here ' + str(val.__class__))
self.data = DenseVector(size = 1)
self.data.set(0, val)
if not i is None:
this(val = i)
if not o is None:
self.label = Instance(val = float(o))
if not b is None:
if b:
self.label = Instance(val = 1.0)
else:
self.label = Instance(val = 0.0)
if not weight is None:
self.weight = weight # double
else:
self.weight = 1.0
if data is None and ds is None and val is None:
print val
print ','.join([str(data), str(label), str(weight), str(ds), str(val), str(i), str(o), str(b)])
raise TypeError('WHAT IS HAppening?')
class Instance:
#/**
#* The label for self instance
#*/
#Instance label
#/**
#* The vector storing the data
#*/
#Vector data
#/**
#* The weight of the instance
#*/
#double weight
#/**
#* Make a instance from the given data
#* @param data the data itself
#* @param label the label
#* @param weight the weight
#* @param dataSet the data set
#*/
# double weight
# Instance label
# Vector data
# Vector v
# double[] ds
# double, int val
# int o
# int i
# double ds
# boolean b
def __init__ (self, data = None, label = None, weight = None, ds = None, val = None, i = None, o = None, b = None):
#print "Instance.__init__.Parameters: " + "data: " + str(data) + " label: " + str(label) + " weight: " + str(weight) + " ds: " + str(ds) + " val: " + str(val)
if not data is None:
if not isinstance(data, Vector):
raise TypeError('Vector Class Required: ' + str(data.__class__))
self.data = data # Vector
if not label is None:
if not isinstance(label, Instance):
raise TypeError ('Instance Required for all Labels: ' + str(label.__class__))
self.label = label # Instance
if not ds is None:
if not isinstance(ds, list):
raise TypeError('Array of "doubles" required here: ' + str(ds.__class__))
self.data = DenseVector(data = ds)
if not val is None:
if not isinstance(val, (int, long, float, complex)):
raise TypeError('Expected a number here ' + str(val.__class__))
self.data = DenseVector(size = 1)
self.data.set(0, val)
if not i is None:
this(val = i)
if not o is None:
self.label = Instance(val = float(o))
if not b is None:
if b:
self.label = Instance(val = 1.0)
else:
self.label = Instance(val = 0.0)
if not weight is None:
self.weight = weight # double
else:
self.weight = 1.0
if data is None and ds is None and val is None:
print val
print ','.join([str(data), str(label), str(weight), str(ds), str(val), str(i), str(o), str(b)])
raise TypeError('WHAT IS HAppening?')
#/**
#* Get the size of the instance
#* @return the size
#*/
def size(self):
return self.data.size()
#/**
#* Get the ith continuous value
#* @param i the value to get
#* @return the value
#*/
def getContinuous(self, i=0):
#print "instance.getContinuous.data.get" + str(type(self.data.get(i)))
if isinstance(self.data.get(i), Instance):
raise TypeError('I dont even')
return self.data.get(i)
#/**
#* Get the ith discrete value
#* @param i the value to get
#* @return the value
#*/
def getDiscrete(self, i=0):
#print "instance.getDiscrete " + str(self.data.get(i))
return int(round(self.data.get(i)))
# raise StubError('getDiscrete Not Implemented Yet')
#/**
#* Get a plus or minus value
#* @return a plus or minus boolean value
#*/
def getPlusMinus(self):
if (self.getDiscrete() == 1):
return 1
else:
return -1
#/**
#* Get the boolean value
#* @return the boolen value
#*/
def getBoolean(self):
return self.getDiscrete() == 1
#/**
#* Get the label for self instance
#* @return the label
#*/
def getLabel(self):
#print "instance.getLabel: " + str(type(self.label))
return self.label
#/**
#* Get the data vector
#* @return the data
#*/
def getData(self):
#print "instance.self.getData().self.data" + str(self.data.__class__)
return self.data
#/**
#* Get the weight of self instance
#* @return the weight
#*/
def getWeight(self):
return self.weight
#/**
#* Set the data vector
#* @param vector the data vector
#*/
def setData(self, vector):
#print "instance.setData.vector" + str(vector)
self.data = vector
#/**
#* Set the label for self instance
#* @param instance the label
#*/
def setLabel(self, instance):
if not isinstance(instance, Instance):
raise TypeError('Instance Required ' + str(instance.__class__))
self.label = instance
#print "instance.self" + str(self.__dict__)
#/**
#* Set the weight for the instance
#* @param d the weight
#*/
def setWeight(self, d):
self.weight = d
#/**
#* Make a instance
#* @return the copy
#*/
def copy(self):
#print 'instance.copy' + str(self)
if 'label' in self.__dict__:
#print "instance.setData.vector" + str(vector)
return Instance(data = self.data.copy(), label = self.label.copy(), weight = self.weight)
else:
return Instance(data = self.data.copy(), weight = self.weight)
#/**
#* @see java.lang.Object#toString()
#*/
def toString(self):
#print self.data.__class__
result = self.data.toString()
#print 'instance.tostring.self.__dict__' + str(self.__dict__)
if 'label' in self.__dict__.keys():
result += " : " + self.label.toString()
if (self.weight != 1.0):
result += " x " + self.weight
return result