Finally, we can write out our classifier to a file using clj-ml.utils/serialize-to-file:
(defn ex-4-48 []
(let [dataset (->> (load-data "titanic.tsv")
(to-weka)
(mlf/make-apply-filter
:replace-missing-values {}))
classifier (cl/make-classifier :decision-tree
:random-forest)
file (io/file (io/resource "classifier.bin"))]
(clu/serialize-to-file classifier file)))At some point later, we can load up our trained classifier using the clj-ml.utils/deserialize-from-file and immediately begin classifying new data.