IGNITE-7317: SVM Examples this closes #3435
Project: http://git-wip-us.apache.org/repos/asf/ignite/repo Commit: http://git-wip-us.apache.org/repos/asf/ignite/commit/a1922d7e Tree: http://git-wip-us.apache.org/repos/asf/ignite/tree/a1922d7e Diff: http://git-wip-us.apache.org/repos/asf/ignite/diff/a1922d7e Branch: refs/heads/ignite-7485-2 Commit: a1922d7e2406da7bfe561b838f01d98aeae1e1f1 Parents: 8b52ae9 Author: zaleslaw <zaleslaw....@gmail.com> Authored: Mon Feb 5 18:08:45 2018 +0300 Committer: Yury Babak <yba...@gridgain.com> Committed: Mon Feb 5 18:08:45 2018 +0300 ---------------------------------------------------------------------- .../ml/svm/SVMBinaryClassificationExample.java | 134 ++ .../src/main/resources/datasets/titanic.txt | 1309 ++++++++++++++++++ 2 files changed, 1443 insertions(+) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/ignite/blob/a1922d7e/examples/src/main/java/org/apache/ignite/examples/ml/svm/SVMBinaryClassificationExample.java ---------------------------------------------------------------------- diff --git a/examples/src/main/java/org/apache/ignite/examples/ml/svm/SVMBinaryClassificationExample.java b/examples/src/main/java/org/apache/ignite/examples/ml/svm/SVMBinaryClassificationExample.java new file mode 100644 index 0000000..979afe2 --- /dev/null +++ b/examples/src/main/java/org/apache/ignite/examples/ml/svm/SVMBinaryClassificationExample.java @@ -0,0 +1,134 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.ignite.examples.ml.svm; + +import java.io.File; +import java.io.IOException; +import java.net.URISyntaxException; +import java.net.URL; +import java.nio.file.Path; +import java.nio.file.Paths; +import org.apache.ignite.Ignite; +import org.apache.ignite.Ignition; +import org.apache.ignite.examples.ExampleNodeStartup; +import org.apache.ignite.internal.util.IgniteUtils; +import org.apache.ignite.ml.Trainer; +import org.apache.ignite.ml.structures.LabeledDataset; +import org.apache.ignite.ml.structures.LabeledDatasetTestTrainPair; +import org.apache.ignite.ml.structures.preprocessing.LabeledDatasetLoader; +import org.apache.ignite.ml.structures.preprocessing.LabellingMachine; +import org.apache.ignite.ml.structures.preprocessing.Normalizer; +import org.apache.ignite.ml.svm.SVMLinearBinaryClassificationTrainer; +import org.apache.ignite.ml.svm.SVMLinearClassificationModel; +import org.apache.ignite.thread.IgniteThread; + +/** + * <p> + * Example of using {@link org.apache.ignite.ml.svm.SVMLinearClassificationModel} with Titanic dataset.</p> + * <p> + * Note that in this example we cannot guarantee order in which nodes return results of intermediate + * computations and therefore algorithm can return different results.</p> + * <p> + * Remote nodes should always be started with special configuration file which + * enables P2P class loading: {@code 'ignite.{sh|bat} examples/config/example-ignite.xml'}.</p> + * <p> + * Alternatively you can run {@link ExampleNodeStartup} in another JVM which will start node + * with {@code examples/config/example-ignite.xml} configuration.</p> + */ +public class SVMBinaryClassificationExample { + /** Separator. */ + private static final String SEPARATOR = ","; + + /** Path to the Iris dataset. */ + private static final String TITANIC_DATASET = "examples/src/main/resources/datasets/titanic.txt"; + + /** + * Executes example. + * + * @param args Command line arguments, none required. + */ + public static void main(String[] args) throws InterruptedException { + System.out.println(">>> SVM Binary classification example started."); + // Start ignite grid. + try (Ignite ignite = Ignition.start("examples/config/example-ignite.xml")) { + System.out.println(">>> Ignite grid started."); + + IgniteThread igniteThread = new IgniteThread(ignite.configuration().getIgniteInstanceName(), + SVMBinaryClassificationExample.class.getSimpleName(), () -> { + + try { + // Prepare path to read + File file = IgniteUtils.resolveIgnitePath(TITANIC_DATASET); + if (file == null) + throw new RuntimeException("Can't find file: " + TITANIC_DATASET); + + Path path = file.toPath(); + + // Read dataset from file + LabeledDataset dataset = LabeledDatasetLoader.loadFromTxtFile(path, SEPARATOR, true, false); + + // Normalize dataset + Normalizer.normalizeWithMiniMax(dataset); + + // Random splitting of the given data as 70% train and 30% test datasets + LabeledDatasetTestTrainPair split = new LabeledDatasetTestTrainPair(dataset, 0.3); + + System.out.println("\n>>> Amount of observations in train dataset " + split.train().rowSize()); + System.out.println("\n>>> Amount of observations in test dataset " + split.test().rowSize()); + + LabeledDataset test = split.test(); + LabeledDataset train = split.train(); + + System.out.println("\n>>> Create new linear binary SVM trainer object."); + Trainer<SVMLinearClassificationModel, LabeledDataset> trainer = new SVMLinearBinaryClassificationTrainer(); + + System.out.println("\n>>> Perform the training to get the model."); + SVMLinearClassificationModel mdl = trainer.train(train); + + System.out.println("\n>>> SVM classification model: " + mdl); + + // Clone labels + final double[] labels = test.labels(); + + // Save predicted classes to test dataset + LabellingMachine.assignLabels(test, mdl); + + // Calculate amount of errors on test dataset + int amountOfErrors = 0; + for (int i = 0; i < test.rowSize(); i++) { + if (test.label(i) != labels[i]) + amountOfErrors++; + } + + System.out.println("\n>>> Absolute amount of errors " + amountOfErrors); + System.out.println("\n>>> Prediction percentage " + (1 - amountOfErrors / (double) test.rowSize())); + + } catch (IOException e) { + e.printStackTrace(); + System.out.println("\n>>> Unexpected exception, check resources: " + e); + } finally { + System.out.println("\n>>> SVM binary classification example completed."); + } + + }); + + igniteThread.start(); + igniteThread.join(); + } + } +} http://git-wip-us.apache.org/repos/asf/ignite/blob/a1922d7e/examples/src/main/resources/datasets/titanic.txt ---------------------------------------------------------------------- diff --git a/examples/src/main/resources/datasets/titanic.txt b/examples/src/main/resources/datasets/titanic.txt new file mode 100644 index 0000000..fa2dc70 --- /dev/null +++ b/examples/src/main/resources/datasets/titanic.txt @@ -0,0 +1,1309 @@ +1,1,2,29,0,0,211.3375 +1,1,1,0.9167,1,2,151.55 +-1,1,2,2,1,2,151.55 +-1,1,1,30,1,2,151.55 +-1,1,2,25,1,2,151.55 +1,1,1,48,0,0,26.55 +1,1,2,63,1,0,77.9583 +-1,1,1,39,0,0,0 +1,1,2,53,2,0,51.4792 +-1,1,1,71,0,0,49.5042 +-1,1,1,47,1,0,227.525 +1,1,2,18,1,0,227.525 +1,1,2,24,0,0,69.3 +1,1,2,26,0,0,78.85 +1,1,1,80,0,0,30 +-1,1,1,,0,0,25.925 +-1,1,1,24,0,1,247.5208 +1,1,2,50,0,1,247.5208 +1,1,2,32,0,0,76.2917 +-1,1,1,36,0,0,75.2417 +1,1,1,37,1,1,52.5542 +1,1,2,47,1,1,52.5542 +1,1,1,26,0,0,30 +1,1,2,42,0,0,227.525 +1,1,2,29,0,0,221.7792 +-1,1,1,25,0,0,26 +1,1,1,25,1,0,91.0792 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