def influence_from_state(self, bdeltas, bcounts, gdeltas, gcounts, c=None):
if c is None:
c = self.c
binf = compute_bad_score(bdeltas, bcounts, c)
ginfs = [gdelta for gdelta,gcount in zip(gdeltas, gcounts) if gcount]
ginf = ginfs and max(ginfs) or 0
ret = self.l * binf - (1. - self.l) * ginf
return ret
def influences(self, rule, cs=[]):
"""
compute influences for a list of c values
"""
bdeltas, bcounts, gdeltas, gcounts = self.influence_state(rule)
ginfs = [gdelta for gdelta,gcount in zip(gdeltas, gcounts) if gcount]
ret = []
for c in cs:
binf = compute_bad_score(bdeltas, bcounts, c)
ginf = ginfs and max(ginfs) or 0
res = self.l * binf - (1. - self.l) * ginf
ret.append(res)
return ret
def create_inf_func(self, l):
if self.inf_state is None:
raise Exception("inf_state is None, cant' create inf_func")
inf_state = self.inf_state
vs = [gv for gv, gc in zip(inf_state[2], inf_state[3]) if gc]
if vs:
maxg = max(vs)
else:
maxg = 0
bds, bcs = [], []
for idx in xrange(len(inf_state[0])):
bd, bc = inf_state[0][idx], inf_state[1][idx]
if valid_number(bd) and valid_number(bc):
bds.append(bd)
bcs.append(bc)
f = lambda c: l*compute_bad_score(bds, bcs, c) - (1.-l)*maxg
return f