def dataset(self):
dl = Distribution([1, 0], [
self.probiablity,
])
v = dl.generator(len(self.dset))
m = []
for i in range(len(self.dset)):
if v[i] == 1:
m.append(self.dset)
return m
def dataset(self):
dl = Distribution([1, 0], [
self.probiablity,
])
v = dl.generator(len(self.dset))
m = []
for i in range(len(self.dset)):
if v[i] == 1:
m.append(self.dset)
return m
