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While it is a good name, it can be easily confused with optimisation algorithms used by different machine learning libraries to train a model. These optimisation algorithms are low-level implementations responsible of reducing loss in a model and are nothing close to hyper parameter tuning.
Proposed Solution
A different name that would be suggestive of tuning characteristics. Perhaps, tuners would make a lot more sense.
pdxjohnny
commented
3 years ago
Pain Point
While it is a good name, it can be easily confused with optimisation algorithms used by different machine learning libraries to train a model. These optimisation algorithms are low-level implementations responsible of reducing loss in a model and are nothing close to hyper parameter tuning.
Proposed Solution
A different name that would be suggestive of tuning characteristics. Perhaps,
tunerswould make a lot more sense.