Package topo :: Package transferfn :: Module basic :: Class DivisiveNormalizeLinf

Class DivisiveNormalizeLinf

TransferFn to divide an array by its L-infinity norm (i.e. the maximum absolute value of its elements).

For a given array interpreted as a flattened vector, scales the elements divisively so that the maximum absolute value is the specified norm_value.

The L-infinity norm is also known as the divisive infinity norm and Chebyshev norm.

Nested Classes

[hide private]

Inherited from param.parameterized.Parameterized: __metaclass__

Instance Methods

[hide private]

__call__(self, x)

source code

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

[hide private]

norm_value = param.Number(default= 1.0)

__params = {'name': <param.parameterized.String object at 0xb5...
dict() -> new empty dictionary.

name = <param.parameterized.String object at 0xb5899ec>
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, x)
(Call operator)

source code

Overrides: base.functionfamily.TransferFn.__call__

Class Variable Details

[hide private]

__params

dict() -> new empty dictionary.
dict(mapping) -> new dictionary initialized from a mapping object's
    (key, value) pairs.
dict(seq) -> new dictionary initialized as if via:
    d = {}
    for k, v in seq:
        d[k] = v
dict(**kwargs) -> new dictionary initialized with the name=value pairs
    in the keyword argument list.  For example:  dict(one=1, two=2)

Value:

{'name': <param.parameterized.String object at 0xb5899ec>,
 'norm_value': <param.Number object at 0xb45d074>,
 'print_level': <param.parameterized.Parameter object at 0xa30387c>}

Class DivisiveNormalizeLinf

__call__(self, x) (Call operator)

__params

call(self, x)
(Call operator)