def __init__(self, steps=(1,), alpha=0.001, actValueAlpha=0.3, verbosity=0,
callsPerSerialize=CALLS_PER_SERIALIZE):
self._claClassifier = CLAClassifier(steps, alpha, actValueAlpha, verbosity)
self._fastCLAClassifier = FastCLAClassifier(steps, alpha, actValueAlpha,
verbosity)
self._calls = 0
self._callsPerSerialize = callsPerSerialize
def create(*args, **kwargs):
impl = kwargs.pop('implementation', None)
if impl is None:
impl = Configuration.get('nupic.opf.claClassifier.implementation')
if impl == 'py':
return CLAClassifier(*args, **kwargs)
elif impl == 'cpp':
return FastCLAClassifier(*args, **kwargs)
elif impl == 'diff':
return CLAClassifierDiff(*args, **kwargs)
else:
raise ValueError('Invalid classifier implementation (%r). Value must be '
'"py" or "cpp".' % impl)
def read(proto):
"""
proto: CLAClassifierRegionProto capnproto object
"""
impl = proto.classifierImp
if impl == 'py':
return CLAClassifier.read(proto.claClassifier)
elif impl == 'cpp':
instance = FastCLAClassifier()
instance.read(proto.claClassifier)
return instance
elif impl == 'diff':
raise NotImplementedError("CLAClassifierDiff.read not implemented")
else:
raise ValueError('Invalid classifier implementation (%r). Value must be '
'"py" or "cpp".' % impl)
