def subsample(self, fcs, *args, **kwargs):
x = fcs[:]
neg_py = mixnormpdf(x,
self.neg.pis,
self.neg.mus,
self.neg.sigmas,
logged=True,
*args,
**kwargs)
pos_py = mixnormpdf(x,
self.pos.pis,
self.pos.mus,
self.pos.sigmas,
logged=True,
*args,
**kwargs)
diff = pos_py - neg_py
probs = np.exp(diff)
probs = probs / np.sum(probs)
samp = npr.choice(np.arange(x.shape[0]),
size=self.n,
replace=False,
p=probs)
if isinstance(fcs, fcm.FCMdata):
node = SubsampleNode("", fcs.get_cur_node(), samp)
fcs.add_view(node)
return fcs
else:
return x[samp]
def subsample(self, fcs):
x = fcs[:]
samp = npr.choice(np.arange(x.shape[0]), self.n)
if isinstance(fcs, fcm.FCMdata):
node = SubsampleNode("", fcs.get_cur_node(), samp)
fcs.add_view(node)
return fcs
else:
return x[samp]
def subsample(self, fcs, *args, **kwargs):
x = fcs[:]
p = mixnormpdf(x, self.neg.pis, self.neg.mus, self.neg.sigmas)
p = 1 / p
p = p / np.sum(p)
samp = npr.choice(np.arange(x.shape[0]),
size=self.n,
replace=False,
p=p)
if isinstance(fcs, fcm.FCMdata):
node = SubsampleNode("", fcs.get_cur_node(), samp)
fcs.add_view(node)
return fcs
else:
return x[samp]
def subsample(self, fcs):
"""D(<fcmdata>) -> leads to a new fcm view of subsampled data"""
node = SubsampleNode("", fcs.get_cur_node(), self.samp)
fcs.add_view(node)
return fcs