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JDACS4C-IMPROVE / IMPROVE

Libraries and scripts for basic IMPROVE functionalities
MIT License
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Config for workflows #167

Open nkoussa opened 1 week ago

nkoussa commented 1 week ago

@wilke I think you were working on this, but it would be useful since if I use the preprocess config I can't use input_dir.

params = cfg.initialize_parameters( File "/nfs/lambda_stor_01/homes/ac.nckoussa/deephyper/IMPROVE/improvelib/initializer/stage_config.py", line 79, in initialize_parameters params = cfg.initialize_parameters( File "/nfs/lambda_stor_01/homes/ac.nckoussa/deephyper/IMPROVE/improvelib/initializer/stage_config.py", line 79, in initialize_parameters p = build_paths(p) File "/nfs/lambda_stor_01/homes/ac.nckoussa/deephyper/IMPROVE/improvelib/utils.py", line 320, in build_paths p = build_paths(p) File "/nfs/lambda_stor_01/homes/ac.nckoussa/deephyper/IMPROVE/improvelib/utils.py", line 320, in build_paths check_path(x_data_path) File "/nfs/lambda_stor_01/homes/ac.nckoussa/deephyper/IMPROVE/improvelib/utils.py", line 296, in check_path check_path(x_data_path) File "/nfs/lambda_stor_01/homes/ac.nckoussa/deephyper/IMPROVE/improvelib/utils.py", line 296, in check_path raise Exception(f"ERROR ! {path} not found.\n") Exception: ERROR ! ml_data/CCLE-CCLE/split_0/x_data not found.

I think @adpartin tried to use the generic config and couldn't.

I'll use a workaround for now, but would be nice to implement.