Enter the project root directory and build using Apache Maven:
mvn clean install
The build installs JPMML-SparkML-LightGBM library into local repository using coordinates org.jpmml:jpmml-sparkml-lightgbm:1.0-SNAPSHOT.
Usage
The JPMML-SparkML-LightGBM library extends the JPMML-SparkML library with support for com.microsoft.ml.spark.lightgbm.LightGBMClassificationModel prediction model classes.
add org.jpmml:jpmml-sparkml-lightgbm:1.0-SNAPSHOT.jar to CLASSPATH
import mmlspark
import mmlspark.train
from pyspark.ml import PipelineModel
df = spark.sql("select * from algo_dc_ml_split_data")
model = PipelineModel.load("/user/turing/lightgbm_spark")
from pyspark2pmml import PMMLBuilder
pmmlBuilder = PMMLBuilder(spark.sparkContext, df, model)
pmmlBuilder.buildFile("algo_dc_ml_2c_lightgbm_spark.xml")
hdfs_client.upload("algo_dc_ml_2c_lightgbm_spark.xml","${hdfs_path}")
License
JPMML-SparkML-LightGBM is licensed under the Apache License 2.0. Other licenses are available on request.
JPMML-SparkML-LightGBM
JPMML-SparkML plugin for converting LightGBM-Spark models to PMML.
Prerequisites
Installation
Enter the project root directory and build using Apache Maven:
The build installs JPMML-SparkML-LightGBM library into local repository using coordinates
org.jpmml:jpmml-sparkml-lightgbm:1.0-SNAPSHOT.Usage
The JPMML-SparkML-LightGBM library extends the JPMML-SparkML library with support for
com.microsoft.ml.spark.lightgbm.LightGBMClassificationModelprediction model classes.add
org.jpmml:jpmml-sparkml-lightgbm:1.0-SNAPSHOT.jarto CLASSPATHLicense
JPMML-SparkML-LightGBM is licensed under the Apache License 2.0. Other licenses are available on request.