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I have a PMML file which encodes a logistic regression model that was NOT exported from MLlib.
How can I import the model from PMML using MLlib in Java for evaluation/prediction?
(I know that MLlib can export to PMML, but I need to import from PMML)
494
Right-click a model nugget on the models palette. (Alternatively, double-click a model nugget on the canvas and select the File menu.) On the menu, click Export PMML.
MLlib is Spark's machine learning (ML) library. Its goal is to make practical machine learning scalable and easy. At a high level, it provides tools such as: ML Algorithms: common learning algorithms such as classification, regression, clustering, and collaborative filtering.
MLlib is Spark's scalable machine learning library consisting of common learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction, as well as underlying optimization primitives, as outlined below: summary statistics. correlations.
You could use PMML4S-Spark to import PMML as a SparkML transformer, then make predictions/evaluations in Scala, for example:
import org.pmml4s.spark.ScoreModel
val model = ScoreModel.fromFile("the/pmml/model/path")
val scoreDf = model.transform(df)
If you use PySpark, you could use PyPMML-Spark, for example:
from pypmml_spark import ScoreModel
model = ScoreModel.fromFile('the/pmml/model/path')
score_df = model.transform(df)
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