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This toolkit was originally part of the mlpack machine learning library (https://github.com/mlpack/mlpack) before it was split out into a separate, standalone effort.

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Can machine learning be used to do optimization?

What if you applied machine learning to machine learning?

Yes, you use it to select the parameters of you optimiser, like step size and momentum schedules and other tuneable things. Look up MAML (meta abstract machine learning?)

11 years ago, I did something like that. I was trying to use particle swarm optimization to efficiently update neural network weights, it didn’t work well.

Don’t ask me why I even tried, I was a dumb but code happy undergrad!

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