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Posted to commits@ignite.apache.org by ch...@apache.org on 2019/01/31 16:05:58 UTC
[ignite] branch master updated: IGNITE-11039: [ML] Add parser for
Spark Decision tree regression
This is an automated email from the ASF dual-hosted git repository.
chief pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/ignite.git
The following commit(s) were added to refs/heads/master by this push:
new 2047b25 IGNITE-11039: [ML] Add parser for Spark Decision tree regression
2047b25 is described below
commit 2047b2567c03fd0bc381e409e631de6a4c5fb5b3
Author: zaleslaw <za...@gmail.com>
AuthorDate: Thu Jan 31 19:05:18 2019 +0300
IGNITE-11039: [ML] Add parser for Spark Decision tree regression
This closes #5987
---
.../DecisionTreeRegressionFromSparkExample.java | 91 +++++++++++++++++++++
.../spark/serialized/dtreg/data/._SUCCESS.crc | Bin 0 -> 8 bytes
...-4bdd-8b1c-de87e11b3d1b-c000.snappy.parquet.crc | Bin 0 -> 68 bytes
.../models/spark/serialized/dtreg/data/_SUCCESS | 0
...698b-4bdd-8b1c-de87e11b3d1b-c000.snappy.parquet | Bin 0 -> 7415 bytes
.../spark/serialized/dtreg/metadata/._SUCCESS.crc | Bin 0 -> 8 bytes
.../serialized/dtreg/metadata/.part-00000.crc | Bin 0 -> 12 bytes
.../spark/serialized/dtreg/metadata/_SUCCESS | 0
.../spark/serialized/dtreg/metadata/part-00000 | 1 +
.../ml/sparkmodelparser/SparkModelParser.java | 10 +++
.../ml/sparkmodelparser/SupportedSparkModels.java | 3 +
11 files changed, 105 insertions(+)
diff --git a/examples/src/main/java/org/apache/ignite/examples/ml/inference/spark/modelparser/DecisionTreeRegressionFromSparkExample.java b/examples/src/main/java/org/apache/ignite/examples/ml/inference/spark/modelparser/DecisionTreeRegressionFromSparkExample.java
new file mode 100644
index 0000000..f09cc0c
--- /dev/null
+++ b/examples/src/main/java/org/apache/ignite/examples/ml/inference/spark/modelparser/DecisionTreeRegressionFromSparkExample.java
@@ -0,0 +1,91 @@
+/*
+ * 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.inference.spark.modelparser;
+
+import java.io.FileNotFoundException;
+import javax.cache.Cache;
+import org.apache.ignite.Ignite;
+import org.apache.ignite.IgniteCache;
+import org.apache.ignite.Ignition;
+import org.apache.ignite.cache.query.QueryCursor;
+import org.apache.ignite.cache.query.ScanQuery;
+import org.apache.ignite.examples.ml.tutorial.TitanicUtils;
+import org.apache.ignite.ml.math.functions.IgniteBiFunction;
+import org.apache.ignite.ml.math.primitives.vector.Vector;
+import org.apache.ignite.ml.math.primitives.vector.VectorUtils;
+import org.apache.ignite.ml.sparkmodelparser.SparkModelParser;
+import org.apache.ignite.ml.sparkmodelparser.SupportedSparkModels;
+import org.apache.ignite.ml.tree.DecisionTreeNode;
+
+/**
+ * Run Decision tree regression model loaded from snappy.parquet file.
+ * The snappy.parquet file was generated by Spark MLLib model.write.overwrite().save(..) operator.
+ * <p>
+ * You can change the test data used in this example and re-run it to explore this algorithm further.</p>
+ */
+public class DecisionTreeRegressionFromSparkExample {
+ /** Path to Spark Decision tree regression model. */
+ public static final String SPARK_MDL_PATH = "examples/src/main/resources/models/spark/serialized/dtreg/data" +
+ "/part-00000-366f6ff2-698b-4bdd-8b1c-de87e11b3d1b-c000.snappy.parquet";
+
+ /** Run example. */
+ public static void main(String[] args) throws FileNotFoundException {
+ System.out.println();
+ System.out.println(">>> Decision tree regression model loaded from Spark through serialization over partitioned dataset usage example started.");
+ // Start ignite grid.
+ try (Ignite ignite = Ignition.start("examples/config/example-ignite.xml")) {
+ System.out.println(">>> Ignite grid started.");
+
+ IgniteCache<Integer, Object[]> dataCache = TitanicUtils.readPassengers(ignite);
+
+ IgniteBiFunction<Integer, Object[], Vector> featureExtractor = (k, v) -> {
+ double[] data = new double[] {(double)v[0], (double)v[1], (double)v[5], (double)v[6]};
+ data[0] = Double.isNaN(data[0]) ? 0 : data[0];
+ data[1] = Double.isNaN(data[1]) ? 0 : data[1];
+ data[2] = Double.isNaN(data[2]) ? 0 : data[2];
+ data[3] = Double.isNaN(data[3]) ? 0 : data[3];
+ return VectorUtils.of(data);
+ };
+
+ IgniteBiFunction<Integer, Object[], Double> lbExtractor = (k, v) -> (double)v[4];
+
+ DecisionTreeNode mdl = (DecisionTreeNode)SparkModelParser.parse(
+ SPARK_MDL_PATH,
+ SupportedSparkModels.DECISION_TREE_REGRESSION
+ );
+
+ System.out.println(">>> Decision tree regression model: " + mdl);
+
+ System.out.println(">>> ---------------------------------");
+ System.out.println(">>> | Prediction\t| Ground Truth\t|");
+ System.out.println(">>> ---------------------------------");
+
+ try (QueryCursor<Cache.Entry<Integer, Object[]>> observations = dataCache.query(new ScanQuery<>())) {
+ for (Cache.Entry<Integer, Object[]> observation : observations) {
+ Vector inputs = featureExtractor.apply(observation.getKey(), observation.getValue());
+ double groundTruth = lbExtractor.apply(observation.getKey(), observation.getValue());
+ double prediction = mdl.predict(inputs);
+
+ System.out.printf(">>> | %.4f\t\t| %.4f\t\t|\n", prediction, groundTruth);
+ }
+ }
+
+ System.out.println(">>> ---------------------------------");
+ }
+ }
+}
diff --git a/examples/src/main/resources/models/spark/serialized/dtreg/data/._SUCCESS.crc b/examples/src/main/resources/models/spark/serialized/dtreg/data/._SUCCESS.crc
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index 0000000..3b7b044
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diff --git a/examples/src/main/resources/models/spark/serialized/dtreg/data/_SUCCESS b/examples/src/main/resources/models/spark/serialized/dtreg/data/_SUCCESS
new file mode 100644
index 0000000..e69de29
diff --git a/examples/src/main/resources/models/spark/serialized/dtreg/data/part-00000-366f6ff2-698b-4bdd-8b1c-de87e11b3d1b-c000.snappy.parquet b/examples/src/main/resources/models/spark/serialized/dtreg/data/part-00000-366f6ff2-698b-4bdd-8b1c-de87e11b3d1b-c000.snappy.parquet
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index 0000000..0d55ef9
Binary files /dev/null and b/examples/src/main/resources/models/spark/serialized/dtreg/data/part-00000-366f6ff2-698b-4bdd-8b1c-de87e11b3d1b-c000.snappy.parquet differ
diff --git a/examples/src/main/resources/models/spark/serialized/dtreg/metadata/._SUCCESS.crc b/examples/src/main/resources/models/spark/serialized/dtreg/metadata/._SUCCESS.crc
new file mode 100644
index 0000000..3b7b044
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diff --git a/examples/src/main/resources/models/spark/serialized/dtreg/metadata/.part-00000.crc b/examples/src/main/resources/models/spark/serialized/dtreg/metadata/.part-00000.crc
new file mode 100644
index 0000000..e3f446f
Binary files /dev/null and b/examples/src/main/resources/models/spark/serialized/dtreg/metadata/.part-00000.crc differ
diff --git a/examples/src/main/resources/models/spark/serialized/dtreg/metadata/_SUCCESS b/examples/src/main/resources/models/spark/serialized/dtreg/metadata/_SUCCESS
new file mode 100644
index 0000000..e69de29
diff --git a/examples/src/main/resources/models/spark/serialized/dtreg/metadata/part-00000 b/examples/src/main/resources/models/spark/serialized/dtreg/metadata/part-00000
new file mode 100644
index 0000000..d6e7670
--- /dev/null
+++ b/examples/src/main/resources/models/spark/serialized/dtreg/metadata/part-00000
@@ -0,0 +1 @@
+{"class":"org.apache.spark.ml.regression.DecisionTreeRegressionModel","timestamp":1548250179470,"sparkVersion":"2.2.0","uid":"dtr_db43f37d09f7","paramMap":{"featuresCol":"features","minInstancesPerNode":1,"predictionCol":"prediction","checkpointInterval":10,"cacheNodeIds":false,"maxBins":32,"minInfoGain":0.0,"impurity":"variance","maxDepth":7,"labelCol":"age","maxMemoryInMB":256,"seed":926680331},"numFeatures":4}
diff --git a/modules/ml/spark-model-parser/src/main/java/org/apache/ignite/ml/sparkmodelparser/SparkModelParser.java b/modules/ml/spark-model-parser/src/main/java/org/apache/ignite/ml/sparkmodelparser/SparkModelParser.java
index 9e8a28c..8a66a3c 100644
--- a/modules/ml/spark-model-parser/src/main/java/org/apache/ignite/ml/sparkmodelparser/SparkModelParser.java
+++ b/modules/ml/spark-model-parser/src/main/java/org/apache/ignite/ml/sparkmodelparser/SparkModelParser.java
@@ -87,11 +87,21 @@ public class SparkModelParser {
return loadRandomForestModel(ignitePathToMdl);
case KMEANS:
return loadKMeansModel(ignitePathToMdl);
+ case DECISION_TREE_REGRESSION:
+ return loadDecisionTreeRegressionModel(ignitePathToMdl);
default:
throw new UnsupportedSparkModelException(ignitePathToMdl);
}
}
+ /**
+ * Load Decision Tree Regression model.
+ *
+ * @param pathToMdl Path to model.
+ */
+ private static Model loadDecisionTreeRegressionModel(String pathToMdl) {
+ return loadDecisionTreeModel(pathToMdl);
+ }
private static Model loadKMeansModel(String pathToMdl) {
Vector[] centers = null;
diff --git a/modules/ml/spark-model-parser/src/main/java/org/apache/ignite/ml/sparkmodelparser/SupportedSparkModels.java b/modules/ml/spark-model-parser/src/main/java/org/apache/ignite/ml/sparkmodelparser/SupportedSparkModels.java
index f5ee3a6..4b203fe 100644
--- a/modules/ml/spark-model-parser/src/main/java/org/apache/ignite/ml/sparkmodelparser/SupportedSparkModels.java
+++ b/modules/ml/spark-model-parser/src/main/java/org/apache/ignite/ml/sparkmodelparser/SupportedSparkModels.java
@@ -41,6 +41,9 @@ public enum SupportedSparkModels {
/** K-Means. */
KMEANS,
+ /** Decision tree regression. */
+ DECISION_TREE_REGRESSION,
+
/**
* Gradient boosted trees.
* NOTE: support binary classification only with raw labels 0 and 1