python.samplers.GaussianSampler Class Reference

Inheritance diagram for python.samplers.GaussianSampler:

Collaboration diagram for python.samplers.GaussianSampler:

Public Member Functions
	__init__ (self, mean, sigma)
	shoot (self)
	__call__ (self)

Public Attributes
	mean = float(mean)
	sigma = float(sigma)

Detailed Description

Definition at line 160 of file samplers.py.

Constructor & Destructor Documentation

__init__()

python.samplers.GaussianSampler.__init__	(		self,
			mean,
			sigma )

Definition at line 163 of file samplers.py.

    def __init__(self, mean, sigma):
        self.mean = float(mean)
        self.sigma = float(sigma)
 

Member Function Documentation

__call__()

python.samplers.Sampler.__call__ ( self )

inherited

This is the call method that will actually be used (so that normal
functions can also be passed in as samplers).

Definition at line 17 of file samplers.py.

    def __call__(self):
        """This is the call method that will actually be used (so that normal
        functions can also be passed in as samplers)."""
        return self.shoot()
 

shoot()

python.samplers.GaussianSampler.shoot

(

self

)

Reimplemented from python.samplers.Sampler.

Definition at line 167 of file samplers.py.

    def shoot(self):
        return random.gauss(self.mean, self.sigma)
 
 

Member Data Documentation

mean

python.samplers.GaussianSampler.mean = float(mean)

Definition at line 164 of file samplers.py.

sigma

python.samplers.GaussianSampler.sigma = float(sigma)

Definition at line 165 of file samplers.py.

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The documentation for this class was generated from the following file:

• samplers.py