I want to create a custom model using MLLib (because I need to use Frequent Pattern Mining algorithms who are already in there).
I found some documentation on how create a custom model :
But none of them explain how to do it (in my comprehension). Python and sklearn are well explained and shown but not MLLib. I wonder if there is a code example I could use to help me or a more sepcific documentation.
I am using dataiku V7, not 8. I don't know if there is an impact on custom model.
Inside of the custom model editor there is a sample provided, I have pasted it below.
// This sample code uses a standard MLlib algorithm, the RandomForestRegressor. // import the Estimator from spark.ml import org.apache.spark.ml.regression.RandomForestRegressor // instantiate the Estimator new RandomForestRegressor() .setLabelCol("ot_avg") // Must be the target column .setFeaturesCol("__dku_features") // Must always be __dku_features .setPredictionCol("prediction") // Must always be prediction .setNumTrees(50) .setMaxDepth(8)