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![SVM
Pkg.add("SVM")
using SVM
using RDatasets
!
# Read iris data
iris = data("datasets", "iris")
!
# SVM format expects observations in columns and features in rows
X = matrix(iris[:, 1:4])’
p, n = size(X)
!
# SVM format expects positive and negative examples to +1/-1
Y = [species == "setosa" ? 1.0 : -1.0 for species in iris[:, "Species"]]
!
# Select a subset of the data for training, test on the rest.
train = randbool(n)
!
# We'll fit a model with all of the default parameters
model = svm(X[:,train], Y[train])
!
# And now evaluate that model on the testset
accuracy = nnz(predict(model, X[:,~train]) .== Y[~train])/nnz(~train)](https://image.slidesharecdn.com/hajipata-julia-140218091943-phpapp01/85/Julia-12-320.jpg)
![[輪講] 第1章](https://cdn.slidesharecdn.com/ss_thumbnails/random-171231020415-thumbnail.jpg?width=640&height=640&fit=bounds)
Juliaを使った機械学習
- 1. Juliaを使った 機械学習 2014/02/18 @はじパタLT twitter: @chezou/ github:chezou
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- 7. 開発環境 Julia + IPython+ IJulia + Gadfly ブラウザベースで対話的に動作が実行で き、D3.jsを使ってplotもできる http://qiita.com/chezou/items/ d090f26dcb31818d6964
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- 9. よく見るirisをplot Pkg.add("RDatasets") using RDatasets using Gadfly iris= data("datasets", "iris") head(iris) tail(iris) plot(iris, x = "SepalWidth", y = "SepalLength", color="Species")
- 11. k-means Pkg.add("Clustering") using Clustering x =rand(100, 10000) k = 50 result = kmeans(x, k; max_iter=50, display=:iter) result.assignments
- 12. SVM Pkg.add("SVM") using SVM using RDatasets ! #Read iris data iris = data("datasets", "iris") ! # SVM format expects observations in columns and features in rows X = matrix(iris[:, 1:4])’ p, n = size(X) ! # SVM format expects positive and negative examples to +1/-1 Y = [species == "setosa" ? 1.0 : -1.0 for species in iris[:, "Species"]] ! # Select a subset of the data for training, test on the rest. train = randbool(n) ! # We'll fit a model with all of the default parameters model = svm(X[:,train], Y[train]) ! # And now evaluate that model on the testset accuracy = nnz(predict(model, X[:,~train]) .== Y[~train])/nnz(~train)
- 13. 小並感 IJulia使っている時に、`using PyPlot`と`using Gadfly`を 混ぜると`plot()`が混ざって大変危険 怪しくなったら、Kernelrestartするのが良い `Pkg.add()`で入るものが古い(=バグがある)場合がある ので、`Pkg.update()`で必要に応じて最新版を パッケージ最新版にしても、exampleコードがバグっ て動かない時もある