Generates a learnining curve.

The functions splits the dataset in a fixed size test set and increasingly larger training sets. A model is trained at each step and evaluated.

Returns dataset with the learninig curve data.

• dataset the TMD dataset to use
• train-sizes vector of double from 0 to 1, controlling the sizes of the training data.
• options
  • k At each step a k cross-validation is done
  • metric-fn the metric to use for evaluation the model
  • loss-or-accuracy If the metric-fn calculates :loss or :accuracy