Class LearningFn

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Abstract base class for learning functions that plug into CFPLF_Plugin.

Nested Classes

[hide private]

Inherited from param.parameterized.Parameterized: __metaclass__

Instance Methods

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__call__(self, input_activity, unit_activity, weights, single_connection_learning_rate)
Apply this learning function given the input and output activities and current weights.

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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 param.parameterized.Parameterized (private): _add_parameter, _instantiate_param, _set_name, _setup_params

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

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__abstract = True
bool(x) -> bool

name = <param.parameterized.String object at 0xa9c162c>
String identifier for this object.

Inherited from param.parameterized.Parameterized: print_level

Properties

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Inherited from object: __class__

Method Details

[hide private]

call(self, input_activity, unit_activity, weights, single_connection_learning_rate)
(Call operator)

source code

Apply this learning function given the input and output activities and current weights.

Must be implemented by subclasses.

Class Variable Details

[hide private]

__abstract

bool(x) -> bool

Returns True when the argument x is true, False otherwise. The builtins True and False are the only two instances of the class bool. The class bool is a subclass of the class int, and cannot be subclassed.

Value:

True

Class LearningFn

__call__(self, input_activity, unit_activity, weights, single_connection_learning_rate) (Call operator)

__abstract

call(self, input_activity, unit_activity, weights, single_connection_learning_rate)
(Call operator)