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import attr |
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from .features import AttributeReporter |
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def _values_set(list_to_nominal): |
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if str(list_to_nominal.attribute_reporter) not in\ |
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list_to_nominal.datapoints.get_categorical_attributes(): |
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raise RuntimeError(f"Requested to use the 'list_to_nominal' encoder, but the given variable " |
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f"'{str(list_to_nominal.attribute_reporter)}', seems to not belong in the categorical " |
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"variables of the structured data (so can't be nominal as well).") |
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return list_to_nominal.attribute_reporter.values_set(list_to_nominal.datapoints_attribute_phi.datapoints) |
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@attr.s |
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class ListOfCategoricalPhi: |
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datapoints = attr.ib() |
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attribute_reporter = attr.ib(init=False, default=None) |
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_set = attr.ib(init=False, default=set()) |
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_ordering = attr.ib(init=False, default=list()) |
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_binary_transformer = attr.ib(init=False, default={True: 1, False: 0}) |
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@property |
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def attribute(self): |
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return str(self.attribute_reporter) |
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@attribute.setter |
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def attribute(self, attribute): |
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self.attribute_reporter = AttributeReporter(attribute) |
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self._set = _values_set(self) |
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self._ordering = list(ListOfCategoricalPhi._order(self._set)) |
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def __call__(self, *args, **kwargs): |
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""" |
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Args: |
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attribute (str): the attribute we wish to target for input to the phi function |
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""" |
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self.attribute_reporter = args[0] |
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# TODO fix the below |
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return iter([self._binary_transformer[x in datapoint] for x in self._ordering] |
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for datapoint in self.datapoints.iterrows()) |
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@staticmethod |
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def _order(values_iterable): |
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return iter(_ for _ in sorted(values_iterable)) |
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boromir674 /
so-magic
