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* improve code efficiency of two functions of class AggregatedDataset() : init() and mapSplitsToDataset() * allows to record dataframe in parquet format in addition to csv format * add possibility to divide between test and train absed on subregion (c-region) as well as the possibility to have randomness and different sampling from sampling to sampling in set_train_test_split(). assign_train_test_indices(self,train_indices, test_indices, test_size) is defined to update dataloader with the values of the selected test/train divisions after 10 sampling based on subregion. * adapation of dataset.py to choose output format of _get_output_filename() between csv and parquet * Alban's feedback on PR : mapSplitsToDataset() and init() more efficient for large dataset, output format to csv and parquet * Alban's feedback on PR : split on subregion added, modification of _create_group_kfold_splits() to cross-validate on subregion * Add function to plot test and train dataset (SMB versus elevation * Adapation of dataloader to asnwer review of #158 and new plot functions * to asnwer review of #158 * correct __init__ for mbm plot * preprocess WGMS data to be used by MBM #169 --------- Co-authored-by: Alban Gossard <alban.paul.gossard@gmail.com>
Codecov Report❌ Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## main #178 +/- ##
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+ Coverage 43.08% 43.83% +0.74%
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Files 61 62 +1
Lines 4804 4852 +48
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+ Hits 2070 2127 +57
+ Misses 2734 2725 -9 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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Merge dev into main so that @marvande can synchronise her branch with the latest available features