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 !
