def __init__(self, column, dataframe, settings):
APreprocessor.__init__(self, column, dataframe, settings)
self.scaler = preprocessing.PolynomialFeatures(
degree=self.settings.get('degree', 2),
interaction_only=self.settings.get('interaction_only', False),
include_bias=self.settings.get('include_bias', True),
order=self.settings.get('order', 'C'))
self.pickle_process(dataframe)
def __init__(self, column, dataframe, settings):
APreprocessor.__init__(self, column, dataframe, settings)
self.scaler = preprocessing.StandardScaler(
copy=self.settings.get('copy', True),
with_mean=self.settings.get('with_mean', True),
with_std=self.settings.get('with_std', True),
)
self.pickle_process(dataframe)
def __init__(self, column, dataframe, settings):
APreprocessor.__init__(self, column, dataframe, settings)
self.scaler = preprocessing.PowerTransformer(
method=self.settings.get('method', 'yeo-johnson'),
standardize=self.settings.get('standardize', True),
copy=self.settings.get('copy', True)
)
self.pickle_process(dataframe)
def __init__(self, column, dataframe, settings):
APreprocessor.__init__(self, column, dataframe, settings)
self.scaler = preprocessing.RobustScaler(
with_centering=self.settings.get('with_centering', True),
with_scaling=self.settings.get('with_scaling', True),
quantile_range=self.settings.get('quantile_range',
tuple([25.0, 75.0])),
copy=self.settings.get('copy', True))
self.pickle_process(dataframe)
def __init__(self, column, dataframe, settings):
APreprocessor.__init__(self, column, dataframe, settings)
self.scaler = preprocessing.QuantileTransformer(
n_quantiles=self.settings.get('n_quantiles', 1000),
output_distribution=self.settings.get('output_distribution',
'uniform'),
ignore_implicit_zeros=self.settings.get('ignore_implicit_zeros',
False),
subsample=self.settings.get('subsample', 100000),
random_state=self.settings.get('random_state', None),
copy=self.settings.get('copy', True))
self.pickle_process(dataframe)
def __init__(self, column, dataframe, settings):
APreprocessor.__init__(self, column, dataframe, settings)
def __init__(self, column, dataframe, settings):
APreprocessor.__init__(self, column, dataframe, settings)
self.value = self.settings.get('value', 1)
def __init__(self, column, dataframe, settings):
APreprocessor.__init__(self, column, dataframe, settings)
self.mode = dataframe[self.column].mode()[0]
def __init__(self, column, dataframe, settings):
APreprocessor.__init__(self, column, dataframe, settings)
self.scaler = preprocessing.Normalizer(
norm=self.settings.get('norm', 'l2'),
copy=self.settings.get('copy', True))
def __init__(self, column, dataframe, settings):
APreprocessor.__init__(self, column, dataframe, settings)
self.scaler = preprocessing.MaxAbsScaler(
copy=self.settings.get('copy', True))
self.pickle_process(dataframe)
def __init__(self, column, dataframe, settings):
APreprocessor.__init__(self, column, dataframe, settings)
self.median = dataframe[self.column].median()