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Playing with smile and iris dataset / published by https://github.com/dacr/code-examples-manager #81cddd4b-a3e6-409b-b835-d42b6b653fc0/223d72335199bf194bb533191f798f091e7bb236
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| // summary : Playing with smile and iris dataset | |
| // keywords : smile, machine-learning, iris, ai | |
| // publish : gist | |
| // authors : David Crosson | |
| // license : Apache License Version 2.0 (https://www.apache.org/licenses/LICENSE-2.0.txt) | |
| // id : 81cddd4b-a3e6-409b-b835-d42b6b653fc0 | |
| // created-on : 2021-03-05T09:23:01Z | |
| // managed-by : https://github.com/dacr/code-examples-manager | |
| // run-with : scala-cli $file | |
| // --------------------- | |
| //> using scala "3.4.2" | |
| //> using dep "com.github.pathikrit::better-files:3.9.2" | |
| //> using dep "com.github.haifengl::smile-scala:3.1.1" | |
| //> using dep "org.bytedeco:javacpp-platform:1.5.10" | |
| //> using dep "org.bytedeco:javacpp:1.5.10,classifier=linux-x86_64" | |
| //> using dep "org.bytedeco:arpack-ng:3.9.1-1.5.10,classifier=linux-x86_64" | |
| //> using dep "org.bytedeco:openblas:0.3.26-1.5.10,classifier=linux-x86_64" | |
| //> using dep "org.slf4j:slf4j-nop:2.0.13" | |
| //> using dep "com.lihaoyi::requests:0.9.0" | |
| // --------------------- | |
| import scala.language.postfixOps | |
| import better.files.* | |
| import smile.read | |
| import smile.util.* | |
| import smile.math.* | |
| import smile.math.MathEx.* | |
| import smile.math.distance.* | |
| import smile.data.* | |
| import smile.data.formula.* | |
| import smile.data.measure.* | |
| import smile.data.`type`.* | |
| import smile.regression.* | |
| import smile.stat.distribution.* | |
| import smile.io.* | |
| import smile.stat.Sampling | |
| val inputFileName = "iris.arff" | |
| val inputFile = inputFileName.toFile | |
| if (inputFile.notExists) { | |
| val url = "https://gist.githubusercontent.com/myui/143fa9d05bd6e7db0114/raw/500f178316b802f1cade6e3bf8dc814a96e84b1e/iris.arff" | |
| for {out <- inputFile.newOutputStream.autoClosed} {requests.get(url).writeBytesTo(out)} | |
| } | |
| val iris = read.arff("iris.arff") | |
| println(iris.summary()) | |
| val model = randomForest("class".~(), iris) | |
| println(model.metrics) | |
| val df = iris(0) | |
| println(df) | |
| println(model.predict(df)) | |
| println(df) | |
| // TODO - to be continued... | |
| println("enter to exit"); scala.io.StdIn.readLine() |
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