hyungyun.Moon

implement basic load

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1 +{"class":"org.apache.spark.ml.PipelineModel","timestamp":1528787042384,"sparkVersion":"2.3.0","uid":"pipeline_149a4863990b","paramMap":{"stageUids":["vecIdx_88268a92b43c","dtr_f575620c5b77"]}}
1 +{"class":"org.apache.spark.ml.feature.VectorIndexerModel","timestamp":1528787042566,"sparkVersion":"2.3.0","uid":"vecIdx_88268a92b43c","paramMap":{"handleInvalid":"error","maxCategories":2,"inputCol":"features","outputCol":"indexedFeatures"}}
1 +import org.apache.spark.ml.PipelineModel;
2 +import org.apache.spark.ml.regression.DecisionTreeRegressionModel;
3 +import org.apache.spark.sql.SparkSession;
4 +
5 +public class LoadModel {
6 + public static void main(String args[]) {
7 + SparkSession spark = SparkSession
8 + .builder()
9 + .appName("Detecting Fraud Clicks")
10 + .master("local")
11 + .getOrCreate();
12 +
13 + PipelineModel model = PipelineModel.load("decisionTree.model");
14 +// DecisionTreeRegressionModel treeModel = (DecisionTreeRegressionModel) (model.stages()[1]);
15 +// System.out.println(treeModel.toDebugString());
16 + }
17 +}