Package topo :: Package transferfn :: Module basic :: Class ExpLinear

[frames] | no frames]

Class ExpLinear

source code

Transfer function that is exponential until t from which point it is linear.

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]

e = param.Number(default= 1.0, doc= ...
The exponent of the exponetial part of the curve

t1 = param.Number(default= 0.5, doc= ...
The threshold level where function becomes non-zero

t2 = param.Number(default= 1.0, doc= ...
The threshold level at which curve becomes linear

a = param.Number(default= 1.0, doc= ...
The overall scaling of the function

name = <param.parameterized.String object at 0xb5899ac>
String identifier for this object.

Inherited from base.functionfamily.TransferFn: norm_value

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]

e

The exponent of the exponetial part of the curve

Value:

param.Number(default= 1.0, doc= """
        The exponent of the exponetial part of the curve""")

t1

The threshold level where function becomes non-zero

Value:

param.Number(default= 0.5, doc= """
        The threshold level where function becomes non-zero""")

t2

The threshold level at which curve becomes linear

Value:

param.Number(default= 1.0, doc= """
        The threshold level at which curve becomes linear""")

a

The overall scaling of the function

Value:

param.Number(default= 1.0, doc= """
        The overall scaling of the function""")

Class ExpLinear

__call__(self, x) (Call operator)

e

t1

t2

a

call(self, x)
(Call operator)