def get_sampler(self, xs):
kv = {l: p for l, p in zip(self.Labels, self.expectation(xs))}
return parse_distribution('cat(kv)', {'kv': kv})
def get_sampler(self, xs):
return parse_distribution('pois(lam)', {'lam': self.expectation(xs)})
def get_distribution(self, pas=None):
loc = {pa: pas[pa] for pa in self.Parents}
try:
return parse_distribution(self.Func, loc=loc)
except KeyError:
return find_data_sampler(self.Func.Function, loc=loc)
def get_sampler(self, xs):
return parse_distribution('binom(1, p)', {'p': self.expectation(xs)})
def get_sampler(self, xs):
return parse_distribution('norm(mu, err)', {
'mu': self.expectation(xs),
'err': self.Error
})