Package topo :: Package base :: Module cf :: Class CFPLF_Plugin
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Class CFPLF_Plugin

source code


CFPLearningFunction applying the specified single_cf_fn to each CF.
Nested Classes [hide private]

Inherited from param.parameterized.Parameterized: __metaclass__

Instance Methods [hide private]
 
__call__(self, iterator, input_activity, output_activity, learning_rate, **params)
Apply the specified single_cf_fn to every CF.
source code

Inherited from CFPLearningFn: constant_sum_connection_rate

Inherited from param.parameterized.Parameterized: __getstate__, __init__, __repr__, __setstate__, __str__, debug, defaults, force_new_dynamic_value, get_param_values, get_value_generator, inspect_value, message, print_param_values, script_repr, set_default, set_dynamic_time_fn, set_param, state_pop, state_push, verbose, warning

Inherited from object: __delattr__, __format__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __setattr__, __sizeof__, __subclasshook__

Class Methods [hide private]

Inherited from param.parameterized.Parameterized: params, print_param_defaults

Class Variables [hide private]
  single_cf_fn = param.ClassSelector(LearningFn, default= Hebbia...
Accepts a LearningFn that will be applied to each CF individually.
  name = <param.parameterized.String object at 0xa9aafac>
String identifier for this object.

Inherited from param.parameterized.Parameterized: print_level

Properties [hide private]

Inherited from object: __class__

Method Details [hide private]

__call__(self, iterator, input_activity, output_activity, learning_rate, **params)
(Call operator)

source code 
Apply the specified single_cf_fn to every CF.
Overrides: CFPLearningFn.__call__

Class Variable Details [hide private]

single_cf_fn

Accepts a LearningFn that will be applied to each CF individually.
Value:
param.ClassSelector(LearningFn, default= Hebbian(), doc= "Accepts a LearningFn tha\
t will be applied to each CF individually.")