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QuaPy/Ordinal
Alejandro Moreo Fernandez 464bd60c7c generating features from RoBERTa, testing them on Amazons data 2022-03-16 19:12:45 +01:00
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build_Amazon_datasets.py script for genearting the datasets 2022-03-03 14:40:11 +01:00
evaluation.py generating features from RoBERTa, testing them on Amazons data 2022-03-16 19:12:45 +01:00
finetune_bert.py generating features from RoBERTa, testing them on Amazons data 2022-03-16 19:12:45 +01:00
finetuning_batch.sh generating features from RoBERTa, testing them on Amazons data 2022-03-16 19:12:45 +01:00
gen_tables.py generating features from RoBERTa, testing them on Amazons data 2022-03-16 19:12:45 +01:00
generate_bert_vectors_npytxt.py generating features from RoBERTa, testing them on Amazons data 2022-03-16 19:12:45 +01:00
inspect_dataset.py fisrt commit, lets put here some code for ordinal quantification 2022-01-27 12:41:32 +01:00
main.py generating features from RoBERTa, testing them on Amazons data 2022-03-16 19:12:45 +01:00
model.py adding sample_weight to ordinal-aware classifiers 2022-03-10 18:28:49 +01:00
partition_dataset_by_shift.py generating features from RoBERTa, testing them on Amazons data 2022-03-16 19:12:45 +01:00
partition_dataset_by_smoothness.py generating features from RoBERTa, testing them on Amazons data 2022-03-16 19:12:45 +01:00
preprocess_dataset.py generating features from RoBERTa, testing them on Amazons data 2022-03-16 19:12:45 +01:00
preprocess_dataset_npytxt2pkl.py generating features from RoBERTa, testing them on Amazons data 2022-03-16 19:12:45 +01:00
preprocess_dataset_tfidf.py generating features from RoBERTa, testing them on Amazons data 2022-03-16 19:12:45 +01:00
tabular.py adding sample_weight to ordinal-aware classifiers 2022-03-10 18:28:49 +01:00
utils.py generating features from RoBERTa, testing them on Amazons data 2022-03-16 19:12:45 +01:00