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Declarative Machine Learning
There is a newer version: 1.2.0
#!/bin/bash
#-------------------------------------------------------------
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
# 
#   http://www.apache.org/licenses/LICENSE-2.0
# 
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
#
#-------------------------------------------------------------

#set -x


# Environment

# Following variables must be rewritten by your installation paths.
DEFAULT_SPARK_HOME=/usr/local/spark-2.1.0/spark-2.1.0-bin-hadoop2.6
DEFAULT_SYSTEMML_HOME=.

if [ -z ${SPARK_HOME} ]; then
  SPARK_HOME=${DEFAULT_SPARK_HOME}
fi

if [ -z ${SYSTEMML_HOME} ]; then
  SYSTEMML_HOME=${DEFAULT_SYSTEMML_HOME}
fi

# Default Values

master="--master yarn"
deploy_mode="--deploy-mode client"
driver_memory="--driver-memory 20G"
num_executors="--num-executors 5"
executor_memory="--executor-memory 60G"
executor_cores="--executor-cores 24"
conf="--conf spark.driver.maxResultSize=0"


# error help print

printUsageExit()
{
cat < [SYSTEMML OPTIONS]

   Examples:
      $0 -f genGNMF.dml --nvargs V=/tmp/V.mtx W=/tmp/W.mtx H=/tmp/H.mtx rows=100000 cols=800 k=50
      $0 --driver-memory 5G -f GNMF.dml --explain hops -nvargs ...
      $0 --master yarn --deploy-mode cluster -f hdfs:/user/GNMF.dml

   -h | -?  Print this usage message and exit

   SPARK-SUBMIT OPTIONS:
   --conf =   Configuration settings:                  
                                 spark.driver.maxResultSize            Default: 0
   --driver-memory        Memory for driver (e.g. 512M)           Default: 20G
   --master            local | yarn                            Default: yarn
   --deploy-mode       client | cluster                        Default: client
   --num-executors        Number of executors to launch (e.g. 2)  Default: 5
   --executor-memory      Memory per executor (e.g. 1G)           Default: 60G
   --executor-cores       Number of cores per executor (e.g. 1)   Default: 24

   -f                          DML script file name, e.g. hdfs:/user/biadmin/test.dml

   SYSTEMML OPTIONS:
   --stats                     Monitor and report caching/recompilation statistics
   --explain                   Explain plan (runtime)
   --explain2          Explain plan (hops, runtime, recompile_hops, recompile_runtime)
   --nvargs =  List of attributeName-attributeValue pairs
   --args              List of positional argument values
EOF
  exit 1
}

# command line parameter processing

while true ; do
  case "$1" in
    -h)                printUsageExit ; exit 1 ;;
    --master)          master="--master "$2 ; shift 2 ;;
    --deploy-mode)     deploy_mode="--deploy-mode "$2 ; shift 2 ;;
    --driver-memory)   driver_memory="--driver-memory "$2 ; shift 2 ;;
    --num-executors)   num_executors="--num-executors "$2 ; shift 2 ;;
    --executor-memory) executor_memory="--executor-memory "$2 ; shift 2 ;;
    --executor-cores)  executor_cores="--executor-cores "$2 ; shift 2 ;;
    --conf)            conf=${conf}' --conf '$2 ; shift 2 ;;
    -f)                if [ -z "$2" ]; then echo "Error: Wrong usage. Try -h" ; exit 1 ; else f=$2 ; shift 2 ; fi ;;
    --stats)           stats="-stats" ; shift 1 ;;
    --explain)         explain="-explain" ; shift 1 ;;
    --explain2)        explain="-explain "$2 ; shift 2 ;;  
    --nvargs)          shift 1 ; nvargs="-nvargs "$@ ; break ;;
    --args)            shift 1 ; args="-args "$@ ; break ;; 
    *)                 if [ -z "$f" ]; then echo "Error: Wrong usage. Try -h" ; exit 1 ; else break ; fi ;;
  esac
done

# SystemML Spark invocation

$SPARK_HOME/bin/spark-submit \
     ${master} \
     ${deploy_mode} \
     ${driver_memory} \
     ${num_executors} \
     ${executor_memory} \
     ${executor_cores} \
     ${conf} \
     ${SYSTEMML_HOME}/SystemML.jar \
         -f ${f} \
         -config ${SYSTEMML_HOME}/SystemML-config.xml \
         -exec hybrid_spark \
         $explain \
         $stats \
         $nvargs $args