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Feature: Optimizations and bug fixes for training (#42)
* performance optimizations * train multiple repeats on single node in parallel * bug fix * fix bug in indexing when subset_samples() removed something * sleep between jobs; stop if any job fails * format with black * bug fixes * add test for MultiphenoDataloader * update environments * uncomment rules * bug fixes * subset samples in training_dataset rule * example config.yaml * use gpu queue for compute_burdens * performance optimizations * train multiple repeats on single node in parallel * bug fix * fix bug in indexing when subset_samples() removed something * sleep between jobs; stop if any job fails * format with black * bug fixes * add test for MultiphenoDataloader * update environments * uncomment rules * bug fixes * subset samples in training_dataset rule * example config.yaml * use gpu queue for compute_burdens * refactoring * add test for make_dataset * update test runner for multiple conda envs * Fix githubaction yaml * bugfix * fix test --------- Co-authored-by: Brian Clarke <brian.clarke@dkfz.de> Co-authored-by: Magnus Wahlberg <endast@gmail.com>
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