def random(self, point=None, size=None):
return generate_samples(
self._random,
dist_shape=self.shape,
broadcast_shape=self.shape,
size=size,
)
def random(self, point=None, size=None):
(ror, ) = draw_values([self.ror], point=point, size=size)
return generate_samples(
self._random,
dist_shape=self.shape,
broadcast_shape=self.shape,
size=size,
)
def random(self, point=None, size=None):
mn, mx = draw_values([self.min_radius - 0., self.max_radius - 0.],
point=point)
return generate_samples(self._random,
mn,
mx,
dist_shape=self.shape,
broadcast_shape=self.shape,
size=size)
def random(self, point=None, size=None):
"""
Draw random values from HyperGeometric distribution.
Parameters
----------
point : dict, optional
Dict of variable values on which random values are to be
conditioned (uses default point if not specified).
size : int, optional
Desired size of random sample (returns one sample if not
specified).
Returns
-------
array
"""
N, n, k = draw_values([self.N, self.n, self.k], point=point, size=size)
return generate_samples(np.random.hypergeometric,
N,
n,
k,
dist_shape=self.shape,
size=size)
def random(self, point=None, size=None, repeat=None):
mu = draw_values([self.mu], point=point)
return generate_samples(self.zpt_cdf,
mu,
dist_shape=self.shape,
size=size)