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WIP PR that adds
Lrnr_base$reduce_fit
to dropfit_object
components not necessary for prediction, reducing memory demands.In response to #12
Lrnr_base$reduce_fit
, which drops outfit_object
componentsprivate$.fit_can_remove
, which takes a character vector offit_object
components not necessary for predictionoptions("sl3.reduce_fit")
If true, we automatically callreduce_fit
as part of the training processtest-reduce-fit.R
, tests fit reduction for a few learners that I've verified so far