Package gmisclib :: Module multivariance_classes :: Class model_with_numbers
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Class model_with_numbers

source code


Virtual base class for adding in the functions you need when you create a model with known parameters (like mu and sigma).

Instance Methods
 
__init__(self, details, bias)
Bias is an overall shift of the log probability up or down.
source code
 
logp(self, datum) source code
 
pack(self)
Returns a vector of parameters.
source code
 
ndim(self) source code
 
unpack(self, prms) source code
 
new(self, mu, invsigma) source code
 
start(self, dataset) source code
 
offset(self) source code
 
addoff(self) source code
Class Variables
  __doc__ = """Virtual base class for adding in the functi...
Method Details

__init__(self, details, bias)
(Constructor)

source code 

Bias is an overall shift of the log probability up or down. In a classifier, it is used to bias things toward one class or another.


Class Variable Details

__doc__

Value:
"""Virtual base class for adding in the functions
		you need when you create a model with known parameters
		(like mu and sigma)."""