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normalization.py
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normalization.py
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import numpy as np
import sys
import inspect
class NormalizatorFactory(object):
@staticmethod
def build(type_name):
for name, obj in inspect.getmembers(sys.modules[__name__]):
if inspect.isclass(obj):
if hasattr(obj, 'name') and type_name == obj.name:
return obj()
else:
raise Exception("Unknown normalization type '%s'" % type_name)
class Normalizator(object):
def normalize(self, data):
raise NotImplementedError()
def normalize_by(self, raw_data, data):
raise NotImplementedError()
def denormalize_by(self, raw_data, data):
raise NotImplementedError()
class VarianceNormalizator(Normalizator):
name = 'var'
def _mean_and_standard_dev(self, data):
return np.mean(data, axis=0), np.std(data, axis=0)
def normalize(self, data):
me, st = self._mean_and_standard_dev(data)
return (data-me)/st
def normalize_by(self, raw_data, data):
me, st = self._mean_and_standard_dev(raw_data)
return (data-me)/st
def denormalize_by(self, data_by, n_vect):
me, st = self._mean_and_standard_dev(data_by)
return n_vect * st + me
class RangeNormalizator(Normalizator):
name = 'range'
class LogNormalizator(Normalizator):
name = 'log'
class LogisticNormalizator(Normalizator):
name = 'logistic'
class HistDNormalizator(Normalizator):
name = 'histd'
class HistCNormalizator(Normalizator):
name = 'histc'