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task_predict_modality
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Fix the component bugs surfaced by the full run (#59)
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Correct the resource labels from the run trace, and speed up lm (#58)
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Seed novel's internal validation split (#46)
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Fix guanlab_dengkw_pm (#32)
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stop copying train_mod2 into novel's model artifact (#47)
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Add ss_opm (#16)
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Add scButterfly method (Multiome GEX↔ATAC) (#20)
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Add BABEL method (ATAC->GEX prediction) (#19)
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Add SenKin CITE-seq method (LightGBM + GRU ensemble) (#18)
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Expose n_epochs on novel_train and simple_mlp_train (#57)
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give file_pretrained_model an example (#56)
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trim the comments that were review notes (#55)
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make novel_predict actually use the gpu it asks for (#54)
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Bump cellmapper_scvi's base image and align both obsm keys (#53)
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Tidy up the two workflow method configs (#44)
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stop reserving 30 cpus for a single-threaded lm (#42)
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declare normalization_id on file_test_mod2 (#30)
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declare cell_type, and split by batch when is_train is missing (#28)
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Add an intercept to the lm method (#25)
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dedup dataset metadata by dataset_id (#48)
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label file_test_mod2 as the solution (#49)
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record PRs #14 and #15 in the changelog (#50)
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point the viash start blocks at files that exist (#45)
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describe the correlation metrics accurately (#43)
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drop the discarded validation pass in novel (#41)
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