scicloj.metamorph.ml.viz
learning-curveclj
(learning-curve dataset pipe-fn lc-opts)(learning-curve dataset pipe-fn lc-opts hanami-opts)(learning-curve dataset pipe-fn train-sizes lc-opts hanami-opts)Generates a learning 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 a vega lite spec of the learninig curve plot.
dataset the TMD dataset to use
train-sizes vector of double from 0 to 1, controlling the sizes of the training data.
lc-opts
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
hanami-opts Options passed to hanami to control the plot. Can be the default hanami
substituions keys or:
TRAIN-COLOR: Color used for the train curve (default: blue)
TEST-COLOR: Color used for the test curve (default: orange)
Generates a learning 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 a vega lite spec of the learninig curve plot.
`dataset` the TMD dataset to use
`train-sizes` vector of double from 0 to 1, controlling the sizes of the training data.
`lc-opts`
`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
`hanami-opts` Options passed to hanami to control the plot. Can be the default hanami
substituions keys or:
`TRAIN-COLOR:` Color used for the train curve (default: blue)
`TEST-COLOR:` Color used for the test curve (default: orange)
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