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Need to extend it to the other target functions, remove it as a parameter, or document this more thoroughly.
Not as important for DIII-D datasets as it is for our JET datasets (for which the non-/disruptive classes are more imbalanced).
Also, conf['training']['ranking_difficulty_fac']: 1.0 # how much to upweight incorrectly classified shots during training appears to perform a very related role, but instead within loader.py, mpi_runner.py, and performance.py.
The text was updated successfully, but these errors were encountered:
The only time in which
positive_example_penalty
appears in the codebase is in:plasma-python/plasma/conf_parser.py
Lines 86 to 102 in c82ba61
which is loaded only for an unused method in the
MaxHingeTarget
class, noted here:plasma-python/plasma/models/targets.py
Line 153 in 7986f46
Need to extend it to the other target functions, remove it as a parameter, or document this more thoroughly.
Not as important for DIII-D datasets as it is for our JET datasets (for which the non-/disruptive classes are more imbalanced).
conf['training']['ranking_difficulty_fac']: 1.0 # how much to upweight incorrectly classified shots during training
appears to perform a very related role, but instead withinloader.py
,mpi_runner.py
, andperformance.py
.The text was updated successfully, but these errors were encountered: