Datasets for benchmarking strategies #8
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…eprocessing of datasets on the UCI database
…UCI (and some others that are stored as R mat files or excel xls files)
…torage on some UCI datasets
…l dataset instead of just the train portion using concatdataset
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Updated with some tests for Unfortunately I don't have the rights to access the secrets settings for the repo so I can't finish the instructions there. I've added a reference documentation page. This could be followed by another tutorial at a later date. |
thomasgaudelet
previously approved these changes
May 9, 2022
a-pouplin
previously approved these changes
May 11, 2022
jyperion
reviewed
May 24, 2022
jyperion
reviewed
May 24, 2022
jyperion
reviewed
May 24, 2022
a-pouplin
previously approved these changes
May 24, 2022
thomasgaudelet
approved these changes
May 25, 2022
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Modules to download and process datasets from online sources into
torch.utils.data.Datasetinstances, with additional attributes for (stratified) k-fold CV as described in the paper.This incurs a few new dependencies namely
openpyxl,xlrd, andpyreadrfor processing the excel and R data storage formats for original raw datas.Also included are utility functions for transforming each of the datasets into datamanagers that have "cold" or "warm" label initialisations for benchmarking AL strategies on the datasets.
Includes tests for all the modules implemented