Source code for deeppavlov.dataset_iterators.typos_iterator

# Copyright 2017 Neural Networks and Deep Learning lab, MIPT
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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
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#     http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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from deeppavlov.core.common.registry import register
from deeppavlov.core.data.data_learning_iterator import DataLearningIterator


[docs]@register('typos_iterator') class TyposDatasetIterator(DataLearningIterator): """Implementation of :class:`~deeppavlov.core.data.data_learning_iterator.DataLearningIterator` used for training :class:`~deeppavlov.models.spelling_correction.brillmoore.ErrorModel` """
[docs] def split(self, test_ratio: float = 0., *args, **kwargs): """Split all data into train and test Args: test_ratio: ratio of test data to train, from 0. to 1. """ self.train += self.valid + self.test split = int(len(self.train) * test_ratio) self.random.shuffle(self.train) self.test = self.train[:split] self.train = self.train[split:] self.valid = []