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import attr
from data.variables.types import NominalVariableType
from data.features.features import TrackingFeature
@attr.s
class BaseFeatureSet:
features = attr.ib(init=True, default=[])
def __len__(self):
return len(self.features)
def __getitem__(self, item):
return self.features[item]
def __iter__(self):
return iter(self.features)
@classmethod
def from_raw_extractors(cls, data):
"""Create a Feature for each of the lists in the input data (list). Inner lists must satisfy 0 < len(l)"""
return [TrackingFeature.from_callable(*args) for args in data]
class FeatureSet(BaseFeatureSet):
@property
def encoded(self):
for feature in self.features:
if str(feature.state) == 'encoded':
yield feature
def not_encoded(self):
if str(feature.state) != 'encoded':
def binnable(self):
if not isinstance(feature.var_type, NominalVariableType):
boromir674 /
so-magic
