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Spark-Bench version (version number, tag, or git commit hash)
spark-bench-launch-2.1.1_0.2.2-RELEASE
Details of your cluster setup (Spark version, Standalone/Yarn/Local/Etc)
Spark.2.2.1
Scala version on your cluster
Scala version 2.11.8
Spark Cluster: Spark Standalone ( 1 master and 2 slaves).
Description of your problem and any other relevant info
I am working on analyzing Spark performance using as many workloads that I can use. Till this moment, I am able to use the KMeans (data generation and workload). I want to use the Logistic Regression workload but I could not because there is No data generation for Logistic Regression.
I hav tried to run the "legacy version" of spark bench, but i got some issues because my SPark version is 2.2.1 .
IS there any way to get or generate the input data to the Logistic Regression workload?
Many thanks in advance for your help.
The text was updated successfully, but these errors were encountered:
Spark-Bench version (version number, tag, or git commit hash)
spark-bench-launch-2.1.1_0.2.2-RELEASE
Details of your cluster setup (Spark version, Standalone/Yarn/Local/Etc)
Spark.2.2.1
Scala version on your cluster
Scala version 2.11.8
Spark Cluster: Spark Standalone ( 1 master and 2 slaves).
Description of your problem and any other relevant info
I am working on analyzing Spark performance using as many workloads that I can use. Till this moment, I am able to use the KMeans (data generation and workload). I want to use the Logistic Regression workload but I could not because there is No data generation for Logistic Regression.
I hav tried to run the "legacy version" of spark bench, but i got some issues because my SPark version is 2.2.1 .
IS there any way to get or generate the input data to the Logistic Regression workload?
Many thanks in advance for your help.
The text was updated successfully, but these errors were encountered: