blob: f481bd0f4624b63e3d03eee82a57d0139acd4de5 [file] [log] [blame]
#!/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 -e
if [ "$5" == "SPARK" ]; then CMD="./sparkDML.sh "; DASH="-"; elif [ "$5" == "MR" ]; then CMD="hadoop jar SystemDS.jar " ; else CMD="echo " ; fi
BASE=$4
export HADOOP_CLIENT_OPTS="-Xmx2048m -Xms2048m -Xmn256m"
#for all intercept values
for i in 0 1
do
#training
tstart=$SECONDS
${CMD} -f ../algorithms/m-svm.dml $DASH-explain $DASH-stats $DASH-nvargs X=$1 Y=$2 icpt=$i classes=$3 tol=0.0001 reg=0.01 maxiter=$6 model=${BASE}/w Log=${BASE}/debug_output fmt="csv"
ttrain=$(($SECONDS - $tstart - 3))
echo "MSVM train ict="$i" on "$1": "$ttrain >> times.txt
#predict
tstart=$SECONDS
${CMD} -f ../algorithms/m-svm-predict.dml $DASH-explain $DASH-stats $DASH-nvargs X=$1_test Y=$2_test icpt=$i model=${BASE}/w fmt="csv"
tpredict=$(($SECONDS - $tstart - 3))
echo "MSVM predict ict="$i" on "$1": "$tpredict >> times.txt
done