121 lines
4.7 KiB
Clojure
121 lines
4.7 KiB
Clojure
(ns clj-ml.classifiers-test
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(:use [clj-ml classifiers data] :reload-all)
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(:use clojure.test midje.sweet))
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(deftest make-classifiers-options-ibk
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(fact
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(let [options (make-classifier-options
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:lazy :ibk
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{:inverse-weighted true :similarity-weighted true :no-normalization true :num-neighbors 3})]
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options => (just ["-I" "-F" "-N" "-K" "3"] :in-any-order))))
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(deftest make-classifier-ibk
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(let [c (make-classifier :lazy :ibk)]
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(is (= (class c)
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weka.classifiers.lazy.IBk))))
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(deftest train-classifier-ibk
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(let [c (make-classifier :lazy :ibk)
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ds (make-dataset "test" [:a :b {:c [:m :n]}] [[1 2 :m] [4 5 :m]])]
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(dataset-set-class ds 2)
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(classifier-train c ds)
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(is true)))
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(deftest make-classifiers-options-c45
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(fact
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(let [options (make-classifier-options
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:decision-tree :c45
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{:unpruned true :reduced-error-pruning true :only-binary-splits true :no-raising true
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:no-cleanup true :laplace-smoothing true :pruning-confidence 0.12 :minimum-instances 10
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:pruning-number-folds 5 :random-seed 1})]
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options => (just ["-U" "-R" "-B" "-S" "-L" "-A" "-C" "0.12" "-M" "10" "-N" "5" "-Q" "1"] :in-any-order))))
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(deftest make-classifier-c45
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(let [c (make-classifier :decision-tree :c45)]
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(is (= (class c)
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weka.classifiers.trees.J48))))
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(deftest train-classifier-c45
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(let [c (make-classifier :decision-tree :c45)
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ds (make-dataset "test" [:a :b {:c [:m :n]}] [[1 2 :m] [4 5 :m]])]
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(dataset-set-class ds 2)
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(classifier-train c ds)
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(is true)))
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(deftest make-classifier-bayes
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(fact
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(let [c (make-classifier :bayes :naive {:kernel-estimator true :old-format true})
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opts (vec (.getOptions c))]
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opts => (contains ["-K" "-O"]))))
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(deftest make-classifier-bayes-updateable
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(let [c (make-classifier :bayes :naive {:updateable true})]
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(is (= (class c)
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weka.classifiers.bayes.NaiveBayesUpdateable))))
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(deftest train-classifier-bayes
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(let [c (make-classifier :bayes :naive {:kernel-estimator true :old-format true})
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ds (make-dataset "test" [:a :b {:c [:m :n]}] [[1 2 :m] [4 5 :m]])]
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(dataset-set-class ds 2)
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(classifier-train c ds)
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(is true)))
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(deftest classifier-evaluate-dataset
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(let [c (make-classifier :decision-tree :c45)
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ds (make-dataset "test" [:a :b {:c [:m :n]}] [[1 2 :m] [4 5 :m]])
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tds (make-dataset "test" [:a :b {:c [:m :n]}] [[4 1 :n] [4 5 :m]])
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_ (dataset-set-class ds 2)
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_ (dataset-set-class tds 2)
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_ (classifier-train c ds)
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res (classifier-evaluate c :dataset ds tds)]
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(is (= 28 (count (keys res))))))
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(deftest make-classifier-svm-smo-polykernel
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(let [svm (make-classifier :support-vector-machine :smo {:kernel-function {:polynomic {:exponent 2.0}}})]
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(is (= weka.classifiers.functions.supportVector.PolyKernel
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(class (.getKernel svm))))))
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(deftest classifier-evaluate-cross-validation
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(let [c (make-classifier :decision-tree :c45)
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ds (make-dataset "test" [:a :b {:c [:m :n]}] [[1 2 :m] [4 5 :m]])
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_ (dataset-set-class ds 2)
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_ (classifier-train c ds)
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res (classifier-evaluate c :cross-validation ds 2)]
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(is (= 28 (count (keys res))))))
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(deftest classifier-evaluate-cross-validation-grid
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(let [c (make-classifier :support-vector-machine :libsvm-grid)
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ds (make-dataset "test" [:a :b {:c [:m :n]}] [[1 2 :m] [4 5 :m]])
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_ (dataset-set-class ds 2)
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res (classifier-evaluate c :cross-validation ds 2)]
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(is (= 28 (count (keys res))))))
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(deftest test-classifier-classify
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(let [c (make-classifier :decision-tree :c45)
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ds (-> (make-dataset "test" [:a :b {:c [:m :n]}] [[1 2 :m] [4 5 :m]])
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(dataset-set-class 2))
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inst (-> (first (dataset-seq ds))
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(instance-set-class-missing))]
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(classifier-train c ds)
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(is (= :m (classifier-classify c inst)))))
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(deftest test-classifier-label
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(let [c (make-classifier :decision-tree :c45)
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ds (-> (make-dataset "test" [:a :b {:c [:m :n]}] [[1 2 :m] [4 5 :m]])
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(dataset-set-class 2))
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inst (-> (first (dataset-seq ds))
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(instance-set-class-missing))]
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(is (= nil (instance-get-class inst)))
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(classifier-train c ds)
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(classifier-label c inst)
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(is (= :m (instance-get-class inst)))))
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(deftest update-updateable-classifier
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(let [c (make-classifier :bayes :naive {:updateable true})
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ds (make-dataset "test" [:a :b {:c [:m :n]}] [[1 2 :m] [4 5 :m]])
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_ (dataset-set-class ds 2)
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inst (make-instance ds {:a 56 :b 45 :c :m})]
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(classifier-train c ds)
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(classifier-update c ds)
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(classifier-update c inst)
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(is true)))
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