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Fits a model according to a modeling procedure. If the procedure contains untuned parameters they will automatically be tuned prior to fitting.
fit(procedure, x, y, ..., .verbose = getOption("emil_verbose", FALSE))
Modeling procedure, or list of modeling procedures, as produced by modeling_procedure.
modeling_procedure
Dataset, observations as rows and descriptors as columns.
Response vector.
Sent to tune, in case tuning is required, which will pass them on to evaluate.
tune
evaluate
Whether to print an activity log. Set to -1 to suppress all messages.
-1
A list of fitted models.
emil, modeling_procedure, evaluate, tune, predict, get_importance
emil
predict
get_importance
# NOT RUN { mod <- fit("lda", x=iris[-5], y=iris$Species) # }
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