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Add New preprocessor for using an encoding map #506

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merged 3 commits into from
Jul 6, 2022

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JGSweets
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@JGSweets JGSweets commented Jul 5, 2022

Allows a user to set the encoding map to be used in the preprocesor

Comment on lines +752 to +762
char_processor_gen = super().process(
data, labels, label_mapping, batch_size)
encoding_map = self._parameters['encoding_map']
max_length = self._parameters['max_length']
for char_processed_data in char_processor_gen:
x = char_processed_data
if labels:
x = char_processed_data[0]
y = char_processed_data[1]

processed_x = np.zeros((len(x), max_length), dtype='int64')
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uses the previous char generator and then just encodes it after.

@taylorfturner taylorfturner enabled auto-merge (squash) July 6, 2022 12:41
Comment on lines -1603 to +1727
aggregtation_func = parameters.get(
aggregation_func = parameters.get(
'aggregation_func',
self._parameters.get('aggregation_func')
if hasattr(self, '_parameters') else None)
if value is None and aggregtation_func == 'priority':
if value is None and aggregation_func == 'priority':
errors.append(
'`{}` cannot be None if `aggregtation_func` == '
'`{}` cannot be None if `aggregation_func` == '
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typo fix

@taylorfturner taylorfturner merged commit cf90acd into capitalone:main Jul 6, 2022
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3 participants