Hi Spark Users, I need your help.
I've some output after running DecisionTree : <bound method DecisionTreeModel.toDebugString of DecisionTreeModel classifier of depth 3 with 15 nodes> I work with Jupyter notebook and python 2.7 How I can create a graphical representation of the Decision Tree model ? In sklearn I can use tree.export_graphviz , in R I can see the Decision Tree output as well . How to make tree representation of spark in Jupyter notebook ? My code below : model_1 = DecisionTree.trainClassifier(joined_rdd_1, numClasses=2, categoricalFeaturesInfo={0:2, 1:16,..},impurity='gini', maxDepth=3, maxBins=32) model_1.toDebugString model_1.toDebugString() Thanks !