def pos_random_mix_isntance(self, exa, region, label):
ins = Instance(self.__dimension)
for i in range(self.__dimension.get_size()):
if label[i] is False:
ins.set_feature(i, exa.get_feature(i))
else:
# float random
if self.__dimension.get_type(i) == 0:
ins.set_feature(
i,
self.__ro.get_uniform_double(region[i][0],
region[i][1]))
# integer random
elif self.__dimension.get_type(i) == 1:
ins.set_feature(
i,
self.__ro.get_uniform_integer(region[i][0],
region[i][1]))
# categorical random
else:
ins.set_feature(
i,
self.__ro.get_uniform_integer(
self.__dimension.get_region(i)[0],
self.__dimension.get_region(i)[1]))
return ins
def PosRandomDiscreteInstance(self, PosIns, dim, label):
ins = Instance(dim)
for i in range(dim.getSize()):
if label[i] is True:
ins.setFeature(i, PosIns.getFeature(i))
else:
ins.setFeature(i, self.__ro.getUniformInteger(dim.getRegion(i)[0], dim.getRegion(i)[1]))
return ins
def RandomInstance(self, dim, region, label):
inst = Instance(dim)
for i in range(dim.getSize()):
if label[i] is True:
if dim.getType(i) is True:
inst.setFeature(i, self.__ro.getUniformDouble(region[i][0], region[i][1]))
else:
inst.setFeature(i, self.__ro.getUniformInteger(region[i][0], region[i][1]))
return inst
def PosRandomMixInstance(self, PosIns, dim, regi, lab):
ins = Instance(dim)
for i in range(dim.getSize()):
if lab[i] is False:
ins.setFeature(i, PosIns.getFeature(i))
else:
if dim.getType(i) is True: #continue
ins.setFeature(i, self.__ro.getUniformDouble(regi[i][0], regi[i][1]))
else: #discrete
ins.setFeature(i, self.__ro.getUniformInteger(dim.getRegion(i)[0], dim.getRegion(i)[1]))
return ins
def PosRandomMixInstance(self, PosIns, dim, regi, lab):
ins = Instance(dim)
for i in range(dim.getSize()):
if lab[i] is False:
ins.setFeature(i, PosIns.getFeature(i))
else:
if dim.getType(i) is True: #continue
ins.setFeature(
i, self.__ro.getUniformDouble(regi[i][0], regi[i][1]))
else: #discrete
ins.setFeature(
i,
self.__ro.getUniformInteger(
dim.getRegion(i)[0],
dim.getRegion(i)[1]))
return ins
def PosRandomInstance(self, dim, region, label, pos):
ins = Instance(dim)
for i in range(dim.getSize()):
if label[i] is False:
if dim.getType(i) is True:
ins.setFeature(
i,
self.__ro.getUniformDouble(region[i][0], region[i][1]))
else:
ins.setFeature(
i,
self.__ro.getUniformInteger(region[i][0],
region[i][1]))
else:
ins.setFeature(i, pos.getFeature(i))
return ins
def pos_random_instance(self, dim, region, label, pos_instance):
ins = Instance(dim)
for i in range(dim.get_size()):
if label[i] is False:
if dim.get_type(i) == 0:
ins.set_feature(
i,
self.__ro.get_uniform_double(region[i][0],
region[i][1]))
else:
ins.set_feature(
i,
self.__ro.get_uniform_integer(region[i][0],
region[i][1]))
else:
ins.set_feature(i, pos_instance.get_feature(i))
return ins
def PosRandomDiscreteInstance(self, PosIns, dim, label):
ins = Instance(dim)
for i in range(dim.getSize()):
if label[i] is True:
ins.setFeature(i, PosIns.getFeature(i))
else:
ins.setFeature(
i,
self.__ro.getUniformInteger(
dim.getRegion(i)[0],
dim.getRegion(i)[1]))
return ins
