| #!/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. |
| # |
| #------------------------------------------------------------- |
| # ./genRandLogRegData_LTStats.sh myperftest SPARK 1 LOGISTIC &>> logs/genBinomialData.out |
| # ./genRandLogRegData_LTStats.sh myperftest SPARK 150 LOGISTIC &>> logs/genMultinomialData.out |
| # ./genRandLogRegData_LTStats.sh myperftest SPARK 1 REGRESSION &>> logs/genRegressionData.out |
| if [ "$1" == "" -o "$2" == "" ]; then echo "Usage: $0 <hdfsDataDir> <MR | SPARK | ECHO> e.g. $0 perftest SPARK" ; exit 1 ; fi |
| if [ "$2" == "SPARK" ]; then CMD="./sparkDML.sh "; DASH="-"; elif [ "$2" == "MR" ]; then CMD="hadoop jar SystemDS.jar " ; else CMD="echo " ; fi |
| if [ "$3" == "1" ]; then BASE=$1/binomial ; else BASE=$1/multinomial ; fi |
| if [ "$4" == "LOGISTIC" ]; then DATAGEN_SCRIPT=../datagen/genRandData4LogReg_LTstats.dml ; else DATAGEN_SCRIPT=../datagen/genRandData4LinearReg_LTstats.dml ; fi |
| |
| NUM_CATEGORY=$3 |
| FORMAT="binary" |
| DENSE_SP=0.9 |
| SPARSE_SP=0.01 |
| |
| export HADOOP_CLIENT_OPTS="-Xmx2048m -Xms2048m -Xmn256m" |
| |
| #generate XS scenarios (80MB) |
| SUFFIX=10k_1k |
| ${CMD} -f $DATAGEN_SCRIPT $DASH-nvargs N=10000 nf=1000 Nt=5000 nc=$NUM_CATEGORY Xmin=0.0 Xmax=1.0 spars=$DENSE_SP avgLTmin=-3.0 avgLTmax=1.0 stdLT=1.25 iceptmin=0.0 iceptmax=0.0 B=${BASE}/w${SUFFIX}_dense X=${BASE}/X${SUFFIX}_dense Y=${BASE}/y${SUFFIX}_dense Xt=${BASE}/X${SUFFIX}_dense_test Yt=${BASE}/y${SUFFIX}_dense_test fmt=$FORMAT |
| ${CMD} -f $DATAGEN_SCRIPT $DASH-nvargs N=10000 nf=1000 Nt=5000 nc=$NUM_CATEGORY Xmin=0.0 Xmax=1.0 spars=$SPARSE_SP avgLTmin=-3.0 avgLTmax=1.0 stdLT=1.25 iceptmin=0.0 iceptmax=0.0 B=${BASE}/w${SUFFIX}_sparse X=${BASE}/X${SUFFIX}_sparse Y=${BASE}/y${SUFFIX}_sparse Xt=${BASE}/X${SUFFIX}_sparse_test Yt=${BASE}/y${SUFFIX}_sparse_test fmt=$FORMAT |
| |
| ##generate S scenarios (800MB) |
| #SUFFIX=100k_1k |
| #${CMD} -f $DATAGEN_SCRIPT $DASH-nvargs N=100000 nf=1000 Nt=5000 nc=$NUM_CATEGORY Xmin=0.0 Xmax=1.0 spars=$DENSE_SP avgLTmin=-3.0 avgLTmax=1.0 stdLT=1.25 iceptmin=0.0 iceptmax=0.0 B=${BASE}/w${SUFFIX}_dense X=${BASE}/X${SUFFIX}_dense Y=${BASE}/y${SUFFIX}_dense Xt=${BASE}/X${SUFFIX}_dense_test Yt=${BASE}/y${SUFFIX}_dense_test fmt=$FORMAT |
| #${CMD} -f $DATAGEN_SCRIPT $DASH-nvargs N=100000 nf=1000 Nt=5000 nc=$NUM_CATEGORY Xmin=0.0 Xmax=1.0 spars=$SPARSE_SP avgLTmin=-3.0 avgLTmax=1.0 stdLT=1.25 iceptmin=0.0 iceptmax=0.0 B=${BASE}/w${SUFFIX}_sparse X=${BASE}/X${SUFFIX}_sparse Y=${BASE}/y${SUFFIX}_sparse Xt=${BASE}/X${SUFFIX}_sparse_test Yt=${BASE}/y${SUFFIX}_sparse_test fmt=$FORMAT |
| # |
| ##generate M scenarios (8GB) |
| #SUFFIX=1M_1k |
| #${CMD} -f $DATAGEN_SCRIPT $DASH-nvargs N=1000000 nf=1000 Nt=5000 nc=$NUM_CATEGORY Xmin=0.0 Xmax=1.0 spars=$DENSE_SP avgLTmin=-3.0 avgLTmax=1.0 stdLT=1.25 iceptmin=0.0 iceptmax=0.0 B=${BASE}/w${SUFFIX}_dense X=${BASE}/X${SUFFIX}_dense Y=${BASE}/y${SUFFIX}_dense Xt=${BASE}/X${SUFFIX}_dense_test Yt=${BASE}/y${SUFFIX}_dense_test fmt=$FORMAT |
| #${CMD} -f $DATAGEN_SCRIPT $DASH-nvargs N=1000000 nf=1000 Nt=5000 nc=$NUM_CATEGORY Xmin=0.0 Xmax=1.0 spars=$SPARSE_SP avgLTmin=-3.0 avgLTmax=1.0 stdLT=1.25 iceptmin=0.0 iceptmax=0.0 B=${BASE}/w${SUFFIX}_sparse X=${BASE}/X${SUFFIX}_sparse Y=${BASE}/y${SUFFIX}_sparse Xt=${BASE}/X${SUFFIX}_sparse_test Yt=${BASE}/y${SUFFIX}_sparse_test fmt=$FORMAT |
| # |
| ##generate L scenarios (80GB) |
| #SUFFIX=10M_1k |
| #${CMD} -f $DATAGEN_SCRIPT $DASH-nvargs N=10000000 nf=1000 Nt=5000 nc=$NUM_CATEGORY Xmin=0.0 Xmax=1.0 spars=$DENSE_SP avgLTmin=-3.0 avgLTmax=1.0 stdLT=1.25 iceptmin=0.0 iceptmax=0.0 B=${BASE}/w${SUFFIX}_dense X=${BASE}/X${SUFFIX}_dense Y=${BASE}/y${SUFFIX}_dense Xt=${BASE}/X${SUFFIX}_dense_test Yt=${BASE}/y${SUFFIX}_dense_test fmt=$FORMAT |
| #${CMD} -f $DATAGEN_SCRIPT $DASH-nvargs N=10000000 nf=1000 Nt=5000 nc=$NUM_CATEGORY Xmin=0.0 Xmax=1.0 spars=$SPARSE_SP avgLTmin=-3.0 avgLTmax=1.0 stdLT=1.25 iceptmin=0.0 iceptmax=0.0 B=${BASE}/w${SUFFIX}_sparse X=${BASE}/X${SUFFIX}_sparse Y=${BASE}/y${SUFFIX}_sparse Xt=${BASE}/X${SUFFIX}_sparse_test Yt=${BASE}/y${SUFFIX}_sparse_test fmt=$FORMAT |
| # |
| ##generate XL scenarios (800GB) |
| #SUFFIX=100M_1k |
| #${CMD} -f $DATAGEN_SCRIPT $DASH-nvargs N=100000000 nf=1000 Nt=5000 nc=$NUM_CATEGORY Xmin=0.0 Xmax=1.0 spars=$DENSE_SP avgLTmin=-3.0 avgLTmax=1.0 stdLT=1.25 iceptmin=0.0 iceptmax=0.0 B=${BASE}/w${SUFFIX}_dense X=${BASE}/X${SUFFIX}_dense Y=${BASE}/y${SUFFIX}_dense Xt=${BASE}/X${SUFFIX}_dense_test Yt=${BASE}/y${SUFFIX}_dense_test fmt=$FORMAT |
| #${CMD} -f $DATAGEN_SCRIPT $DASH-nvargs N=100000000 nf=1000 Nt=5000 nc=$NUM_CATEGORY Xmin=0.0 Xmax=1.0 spars=$SPARSE_SP avgLTmin=-3.0 avgLTmax=1.0 stdLT=1.25 iceptmin=0.0 iceptmax=0.0 B=${BASE}/w${SUFFIX}_sparse X=${BASE}/X${SUFFIX}_sparse Y=${BASE}/y${SUFFIX}_sparse Xt=${BASE}/X${SUFFIX}_sparse_test Yt=${BASE}/y${SUFFIX}_sparse_test fmt=$FORMAT |
| # |