Package topo :: Package learningfn :: Module optimized :: Class CFPLF_Hebbian
[hide private]
[frames] | no frames]

Class CFPLF_Hebbian

source code


Same as CFPLF_Plugin(single_cf_fn=Hebbian()); just for non-optimized fallback.
Nested Classes [hide private]

Inherited from param.parameterized.Parameterized: __metaclass__

Instance Methods [hide private]

Inherited from base.cf.CFPLF_Plugin: __call__

Inherited from base.cf.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 0xb29ccec>
String identifier for this object.

Inherited from param.parameterized.Parameterized: print_level

Properties [hide private]

Inherited from object: __class__

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(), readonly= True)