Go 言語で実装された機械学習ライブラリである GoLearn を試してみた。
インストール
$ brew install liblas $ go get github.com/gonum/blas $ cd $GOPATH/src/github.com/gonum/blas $ go install ./... $ brew install liblinear $ go get -t -u -v github.com/sjwhitworth/golearn $ cd $GOPATH/src/github.com/sjwhitworth/golearn/ext $ go run make.go $ export DYLD_LIBRARY_PATH=$GOPATH/src/github.com/sjwhitworth/golearn/ext/lib:$DYLD_LIBRARY_PATH $ cd $GOPATH/src/github.com/sjwhitworth/golearn $ go get ./...
実行してみる
$ cd $GOPATH/src/github.com/sjwhitworth/golearn/examples/knnclassifier
$ go run knnclassifier_iris.go
Instances with 88 row(s) 1 attribute(s)
Attributes:
* CategoricalAttribute("Species", [Iris-setosa Iris-versicolor Iris-virginica])
Data:
Iris-setosa
Iris-virginica
Iris-virginica
Iris-versicolor
Iris-setosa
Iris-virginica
Iris-setosa
Iris-versicolor
Iris-setosa
Iris-setosa
Iris-versicolor
Iris-versicolor
Iris-versicolor
Iris-setosa
Iris-virginica
Iris-setosa
Iris-setosa
Iris-setosa
Iris-virginica
Iris-versicolor
Iris-setosa
Iris-setosa
Iris-versicolor
Iris-versicolor
Iris-virginica
Iris-virginica
Iris-setosa
Iris-virginica
Iris-versicolor
Iris-virginica
...
58 row(s) undisplayed
Reference Class True Positives False Positives True Negatives Precision Recall F1 Score
--------------- -------------- --------------- -------------- --------- ------ --------
Iris-setosa 30 0 58 1.0000 1.0000 1.0000
Iris-virginica 28 3 56 0.9032 0.9655 0.9333
Iris-versicolor 26 1 58 0.9630 0.8966 0.9286
Overall accuracy: 0.9545