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xgboost4j-spark-scalability's Introduction

xgboost4j-spark-scalability

a benchmark to test scalability of xgboost4j-spark and relevant projects

Prerequestes

You have to ensure that maven (3.0+) and cmake is installed in your $PATH

Build Benchmark

  1. Edit build/build.sh and define variables like TARGET_URL, TARGET_BRANCH

  2. run build/build.sh

  3. You get the benchmark jar in target/

Run Benchmarks

  1. Generate Data:
spark-submit --master yarn-cluster --num-executors 10 --executor-memory 6g --executor-cores 8 \
    --class me.codingcat.xgboost4j.AirlineDataGenerator --files conf/airline_datagen.conf \
     target/scala-2.11/xgboost4j-spark-scalability-assembly-0.1-SNAPSHOT.jar ./airline_datagen.conf
  1. Run workload:
spark-submit --master yarn-cluster --num-executors 10 --executor-memory 6g --executor-cores 8 \
    --class me.codingcat.xgboost4j.AirlineClassifier --files conf/airline.conf \
     target/scala-2.11/xgboost4j-spark-scalability-assembly-0.1-SNAPSHOT.jar ./airline.conf

xgboost4j-spark-scalability's People

Contributors

codingcat avatar

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Watchers

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Forkers

kangxz machinelearninghelen yuyichen09 david082 jamesliu zlsang chenqin kellyabreu zbn123

xgboost4j-spark-scalability's Issues

配置文件中的数据路径不存在

hi CodingCat，学习xgboost时找到了你的项目。研读了你的代码后，想尝试练下，发现配置中的数据不存在
/xgboost/dataset/transformed
/airline/raw/merged.csv
能否提供下，多谢啦
我的邮箱是 [email protected]

experiments design

  • test training time in 4/8/16/32 workers

  • produce flamegraph respectively

  • compare flamegraphs

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