Merge branch 'LoadPipelineModel' of https://github.com/Java-Cesco/Detecting_frau…

…d_clicks into feature/demo_pipe

+{"class":"org.apache.spark.ml.PipelineModel","timestamp":1528787042384,"sparkVersion":"2.3.0","uid":"pipeline_149a4863990b","paramMap":{"stageUids":["vecIdx_88268a92b43c","dtr_f575620c5b77"]}}

+{"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"}}

+import org.apache.spark.ml.PipelineModel;
+import org.apache.spark.ml.regression.DecisionTreeRegressionModel;
+import org.apache.spark.sql.SparkSession;
+
+public class LoadModel {
+    public static void main(String args[]) {
+        SparkSession spark = SparkSession
+                .builder()
+                .appName("Detecting Fraud Clicks")
+                .master("local")
+                .getOrCreate();
+
+        PipelineModel model = PipelineModel.load("decisionTree.model");
+//        DecisionTreeRegressionModel treeModel = (DecisionTreeRegressionModel) (model.stages()[1]);
+//        System.out.println(treeModel.toDebugString());
+    }
+}