cma.fitness_transformations.NeutralVariables

class documentation

class NeutralVariables(ComposedFunction):

Overwrite some variables with some given fixed values,

thereby removing their effect on the resulting composed function, making them a neutral subspace.

The constructor takes indices and values. Then, x[indices] = values is executed (on a copy) each time before the function is called.

An instance call returns f(self.transform(x)).

Caveat: this has never been thoroughly tested.

>>> from cma import fitness_transformations as ft
>>> fun = ft.NeutralVariables(cma.ff.sphere, [2, 3], 0)
>>> 1**2 + 2**2 == fun([1,2,3,4])
True

Method	`__init__`	return `f` with neutral subspace `indices`
Method	`transform`	copy x and set `x[indices] = values` and return x.
Instance Variable	`_indices`	Undocumented
Instance Variable	`_values`	Undocumented

Inherited from ComposedFunction:

Method	`__call__`	Undocumented
Method	`inverse`	evaluate the composition of inverses on `x`.
Instance Variable	`list_of_inverses`	Undocumented

Inherited from Function (via ComposedFunction):

Method	`initialize`	initialization of `Function`
Instance Variable	`evaluations`	Undocumented
Instance Variable	`ftarget`	Undocumented
Instance Variable	`target_hit_at`	Undocumented
Property	`function_names_to_evaluate_first_found`	attributes which are searched for to be called if no function was given to `__init__`.
Class Variable	`_function_names_to_evaluate_first_found`	Undocumented
Instance Variable	`__callable`	Undocumented
Instance Variable	`__initialized`	Undocumented

def __init__(self, f, indices, values): ¶

overrides cma.fitness_transformations.ComposedFunction.__init__

return f with neutral subspace indices

def transform(self, x): ¶

copy x and set x[indices] = values and return x.

This is the first transformation in this function composition.

_indices = ¶

Undocumented

_values = ¶

Undocumented