def dirichlet(name, arity, pdomain):
"""
Generate a CPD where each value is the cumulative distribution of
the categorical random variable given the parents configuration as the key.
In this case, we will use a random distribution for each state of the
parents variables.
"""
params = {}
for key in fast_space_iterator(pdomain):
params[key] = np.random.dirichlet([1.] * (arity))[:-1]
return CPD(name, arity, params, pdomain)
def dirichlet(name, arity, pdomain):
"""
Generate a CPD where each value is the cumulative distribution of
the categorical random variable given the parents configuration as the key.
In this case, we will use a random distribution for each state of the
parents variables.
"""
params = {}
for key in fast_space_iterator(pdomain):
params[key] = np.random.dirichlet([1.]*(arity))[:-1]
return CPD(name, arity, params, pdomain)
def noisylogic(name, arity, pdomain):
"""
Generate a CPD where each value is the cumulative distribution of
the categorical random variable given the parents configuration as the key.
In this case, we want to pick a random logic function, and then return that.
Assuming binary valued nodes for now.
"""
eps = 0.1
if pdomain == {}:
if np.random.rand() < 0.5:
params = {(): np.array([ra.choice([0 + eps, 1 - eps])])}
else:
params = {(): np.array([0.5])}
else:
params = {}
for key in fast_space_iterator(pdomain):
params[key] = np.array([ra.choice([0 + eps, 1 - eps])])
return CPD(name, arity, params, pdomain)
def noisylogic(name, arity, pdomain):
"""
Generate a CPD where each value is the cumulative distribution of
the categorical random variable given the parents configuration as the key.
In this case, we want to pick a random logic function, and then return that.
Assuming binary valued nodes for now.
"""
eps = 0.1
if pdomain == {}:
if np.random.rand() < 0.5:
params = {(): np.array([ra.choice([0+eps, 1-eps])])}
else:
params = {(): np.array([0.5])}
else:
params = {}
for key in fast_space_iterator(pdomain):
params[key] = np.array([ra.choice([0+eps, 1-eps])])
return CPD(name, arity, params, pdomain)
