[ANN] LearnAPI.jl - Proposal for a basement-level machine learning API

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Some ideas unrelated to the naming question:

  1. I’m not so happy with how verbosity is treated in MLJ and in the LearnAPI proposal. i.e. I prefer the keyword approach of MLJ, but I would like to have a simple way to change the default verbosity level. For example a function LearnAPI.default_verbosity(level), and keep the signature fit(alg, X, y; verbosity) to overrule the default.
  2. I wonder, if it would make sense to define a FitResult structure (could also be called Model) with fields algorithm, params, state, report. This would allow for clean and simple signatures for predict, update!, ingest!, transform, for example
alg = NeuralNetworkClassifier(builder = Short(n_hidden = 10), epochs = 3)
model = fit(alg, X, y)
y = predict(LiteralTarget, model, Xtest)
model.alg.epochs = 10
update!(model, X, y)

alg = PCA()
model = fit(alg, X)
scores = transform(model, X2)
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