pyabsa.tasks.AspectTermExtraction.dataset_utils.__lcf__.data_utils_for_training
Module Contents
Classes
A single training_tutorials/test example for simple sequence classification. |
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A single set of features of raw_data. |
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Base class for raw_data converters for sequence classification raw_data sets. |
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Processor for the CoNLL-2003 raw_data set. |
Functions
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read file |
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Loads a raw_data file into a list of `InputBatch`s. |
Attributes
- class pyabsa.tasks.AspectTermExtraction.dataset_utils.__lcf__.data_utils_for_training.InputExample(guid, text_a, text_b=None, IOB_label=None, aspect_label=None, polarity=None)[source]
Bases:
object
A single training_tutorials/test example for simple sequence classification.
- class pyabsa.tasks.AspectTermExtraction.dataset_utils.__lcf__.data_utils_for_training.InputFeatures(input_ids_spc, input_mask, segment_ids, label_id, polarity=None, valid_ids=None, label_mask=None, tokens=None, lcf_cdm_vec=None, lcf_cdw_vec=None)[source]
Bases:
object
A single set of features of raw_data.
- pyabsa.tasks.AspectTermExtraction.dataset_utils.__lcf__.data_utils_for_training.readfile(filename)[source]
read file
- pyabsa.tasks.AspectTermExtraction.dataset_utils.__lcf__.data_utils_for_training.split_aspect(tag1, tag2=None)[source]
- class pyabsa.tasks.AspectTermExtraction.dataset_utils.__lcf__.data_utils_for_training.DataProcessor[source]
Bases:
object
Base class for raw_data converters for sequence classification raw_data sets.
- class pyabsa.tasks.AspectTermExtraction.dataset_utils.__lcf__.data_utils_for_training.ATEPCProcessor(tokenizer)[source]
Bases:
DataProcessor
Processor for the CoNLL-2003 raw_data set.