competition code suggestions

[lacava]

Adding @janoPig other suggestions here (also ref https://github.com/cavalab/srbench/discussions/131#discussioncomment-3272713)

Some suggestions for published code here -> https://github.com/janoPig/srbench/tree/srcomp

• fix run on local machine. solve errors "ValueError: option names {'--ml'} already added" "ValueError: too many values to unpack (expected 3)"

• [ ] check

• added scripts for running on local computer subit_stage[N]_local.sh METHOD_NAME

• fix number running threads per job(it run always default 4). Add new parameter -n_threads to subit_stage[N].sh script

The submit scripts are there for reproducibility, i.e. they are fixed calls to python analyze.py [args]. analyze.py can be configured for both of these purposes directly.

• added DataFrame=False parameter to HROCH regressor for correct run.

• test for input data featureselection.csv. The data was created using the function '0.11x1^3 + 0.91x2x3 + 0.68x4x5 + 0.26x6^2x7 + 0.13x8x9x10' and feature_absence_score was evaluated for '0.11x1^3 + 0.91x3x5 + 0.68x7x9 + 0.26x11^2x13 + 0.13x15x17x19'

• [ ] This should be checked with the code base release on the srcomp branch.

[janoPig]

any progress?

[janoPig]

Unwillingness to correct your own mistakes makes your work worthless. Pleas close this issue as pointless.