pg.evolution.Choice¶

Accessible via pg.evolution.Choice.

class Choice(ops, limit=None, seed=None)[source]¶

Bases: pg.evolution.Operation

Applying a list of operations with probabilities in a pipeline.

Example:

pg.evolution.Choice([
  (pg.evolution.mutators.Uniform() ** 3, 0.5)
  (pg.evolution.mutators.Swap(), 0.4)
], limit=1)

The code above apply 3 pipelined uniform mutation with probability 0.5, and apply 1 swap between two multiple choices with probability 0.4. At most 1 operation can be applied.

Methods:

call(inputs, global_state[, step])

Subclasses should override this method.

call(inputs, global_state, step=0)[source]¶

Subclasses should override this method.

The global_state and step are optional for the subclasses’ call signature.

Return type:

List[Any]

Parameters:

inputs – A list of values as inputs.
global_state – An AttributeDict object as the global state container, which is readable/writable during the operation.
step – Number of examples historically proposed, which can be used for determining a cross over schedule.

Returns:

A list of values as output of current operation.