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Developer continuous #84
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- new preprocessing - work on cont. associations
- checking different config settings. Highlights: - preprocessing.py: feature_min_max function -perturbations.py: perturb...extended: change target_dataset feature by feature for min/max - identify_associations.py: branched flow depending on target_value
- *preprocessing.py:* feature_min_max to feature_stats (added std) -* perturbations.py:* added std (1 for now) feature by feature -*identify_associations.py:* added predefined list of cont target values
It is used in: - encode data (show before and after preprocessing) - identify associations (plot each feature after perturbation)
Reformat constant CONTINUOUS_TARGET_VALUES
- Tested bayes and ttest on new data - Added config files for continuous test TODO: Create folder with files to create synthetic datasets
- Add GPU compatibility - Fix typing - Make test dataloader batch size configurable - Add extra columns to output table
- in case of no categorical variables, the error surfaced: input_config has to be used!
enryH
reviewed
May 22, 2024
enryH
reviewed
May 31, 2024
enryH
reviewed
May 31, 2024
enryH
reviewed
May 31, 2024
enryH
reviewed
May 31, 2024
double check type hints - also FloatArray is not very informative about the layout of the array (2D, 3D, 4D?)
ri-heme
requested changes
Jun 3, 2024
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Thanks for the help, Henry!
enryH
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ri-heme
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…nLab/MOVE into developer-continuous-v3
- play also with sample data configuration
- f-string formatting error.
- check if less latent dimensions reduces the t-test runtime
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