raiseRuntimeError("JPMML-SparkML not found on classpath") self.sc=sc self.javaPmmlBuilder=javaPmmlBuilder defbuild(self): returnself.javaPmmlBuilder.build() defbuildByteArray(self): returnself.javaPmmlBuilder.buildByteArray() defputOption(self,pipelineStage,key,value): ...
PySpark2PMML must be paired with JPMML-SparkML based on the following compatibility matrix: Apache Spark versionJPMML-SparkML branchLatest JPMML-SparkML version 3.0.X2.0.X2.0.3 3.1.X2.1.X2.1.3 3.2.X2.2.X2.2.3 3.3.X2.3.X2.3.2 3.4.X2.4.X2.4.1 ...
加载依赖的jar包 通过./spark-shell --jars ./jpmml-sparkml-executable-1.2.13.jar 启动spark import org.apache.spark.ml.classification.LogisticRegression import org.apache.spark.ml.feature.VectorAsse...
The example application JAR file contains an executable classorg.jpmml.sparkml.example.Main, which can be used to convert a pair of serializedorg.apache.spark.sql.types.StructTypeandorg.apache.spark.ml.PipelineModelobjects to PMML. The example application JAR file does not include Apache Spark run...
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...
SLF4J: Class path contains multiple SLF4J bindings. SLF4J: Found binding in [jar:file:/usr/BigData/spark/jars/jpmml-sparkml-executable-1.5.12.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: Found binding in [jar:file:/usr/BigData/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7....
sparkml-xgboost</artifactId> <version>1.0-SNAPSHOT</version> <name>JPMML-SparkML-XGBoost</name> <description>JPMML-SparkML plugin for converting XGBoost4J-Spark models to PMML</description> <url>https://github.com/jpmml/jpmml-sparkml-xgboost</url> <licenses> <license> <name>GNU Affero ...
I have a generated RandomForestRegressionModel model which was created somewhat similar to that done here: https://spark.apache.org/docs/2.1.0/ml-classification-regression.html#random-forest-regression . The main difference with mine is ...
The example application JAR file contains an executable classorg.jpmml.sparkml.example.Main, which can be used to convert a pair of serializedorg.apache.spark.sql.types.StructTypeandorg.apache.spark.ml.PipelineModelobjects to PMML. The example application JAR file does not include Apache Spark run...