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scicloj.metamorph.ml.learning-curve
learning-curveclj
(learning-curve ds pipe-fn train-sizes {:keys [k metric-fn loss-or-accuracy]})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
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
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