def __init__(self, **kwargs):
""" :key verbosity: Verbosity level
:key mutationVariate: Variate used for mutation. Defaults to None
:key mutation: Defaults to EvolinoSubMutation
"""
Filter.__init__(self)
ap = KWArgsProcessor(self, kwargs)
ap.add('verbosity', default=0)
ap.add('mutationVariate', default=None)
ap.add('mutation', default=EvolinoSubMutation())
if self.mutationVariate is not None:
self.mutation.mutationVariate = self.mutationVariate
def __init__(self, **kwargs):
""" :key verbosity: Verbosity level
:key mutationVariate: Variate used for mutation. Defaults to None
:key mutation: Defaults to EvolinoSubMutation
"""
Filter.__init__(self)
ap = KWArgsProcessor(self, kwargs)
ap.add('verbosity', default=0)
ap.add('mutationVariate', default=None)
ap.add('mutation', default=EvolinoSubMutation())
if self.mutationVariate is not None:
self.mutation.mutationVariate = self.mutationVariate
def __init__(self, evolino_network, dataset, **kwargs):
""" :key evolino_network: an instance of NetworkWrapper()
:key dataset: The evaluation dataset
:key evalfunc: Compares output to target values and returns a scalar, denoting the fitness.
Defaults to -mse(output, target).
:key wtRatio: Float array of two values denoting the ratio between washout and training length.
Defaults to [1,2]
:key verbosity: Verbosity level. Defaults to 0
"""
Filter.__init__(self)
ap = KWArgsProcessor(self, kwargs)
ap.add('verbosity', default=0)
ap.add('evalfunc', default=lambda output, target:-Validator.MSE(output, target))
ap.add('wtRatio', default=array([1, 2], float))
self.network = evolino_network
self.dataset = dataset
self.max_fitness = -Infinity
def __init__(self, evolino_network, dataset, **kwargs):
""" :key evolino_network: an instance of NetworkWrapper()
:key dataset: The evaluation dataset
:key evalfunc: Compares output to target values and returns a scalar, denoting the fitness.
Defaults to -mse(output, target).
:key wtRatio: Float array of two values denoting the ratio between washout and training length.
Defaults to [1,2]
:key verbosity: Verbosity level. Defaults to 0
"""
Filter.__init__(self)
ap = KWArgsProcessor(self, kwargs)
ap.add('verbosity', default=0)
ap.add('evalfunc',
default=lambda output, target: -Validator.MSE(output, target))
ap.add('wtRatio', default=array([1, 2], float))
self.network = evolino_network
self.dataset = dataset
self.max_fitness = -Infinity
def __init__(self):
Filter.__init__(self)
def __init__(self, **kwargs):
""" :key **kwargs: will be forwarded to the EvolinoSubReproduction constructor
"""
Filter.__init__(self)
self._kwargs = kwargs
def __init__(self):
Filter.__init__(self)
self.nParents = None
self.sub_selection = EvolinoSubSelection()
def __init__(self):
Filter.__init__(self)
def __init__(self, **kwargs):
""" :key **kwargs: will be forwarded to the EvolinoSubReproduction constructor
"""
Filter.__init__(self)
self._kwargs = kwargs
def __init__(self):
Filter.__init__(self)
self.nParents = None
self.sub_selection = EvolinoSubSelection()
