#!/bin/bash

#PBS -N logtestWLCkeras

#!/bin/bash

#PBS -N log_testWLCkeras

# request resources:

#PBS -l nodes=1:ppn=10

#PBS -l walltime=6:00:00

## Options to run job arrays

#PBS -t 0-32

# on compute node, change directory to 'submission directory':

cd $PBS_O_WORKDIR

# record some potentially useful details about the job:

echo Running on host `hostname`

echo Time is `date`

echo Directory is `pwd`

echo "PBS job ID is ${PBS_JOBID}"

echo "The Array ID is: ${PBS_ARRAYID}"

echo "This jobs runs on the following machines:"

echo `cat $PBS_NODEFILE | uniq`

# count the number of processors available:

numprocs=`wc $PBS_NODEFILE | awk '{print $1}'`

mkdir -p 'results'

declare -a dataset_names=(

'confidence'

'segment'

'satimage'

'JapaneseVowels'

'pendigits'

'iris'

'blobs'

'fl2000'

'yeast'

'page-blocks'

'gauss_quantiles'

'autoUniv-au6-750'

'abalone'

'GesturePhaseSegmentationProcessed'

'autoUniv-au6-1000'

'vowel'

'visualizing_livestock'

'vehicle'

'analcatdata_dmft'

'cardiotocography'

'car'

'diggle_table_a2'

'ecoli'

'flags'

'glass'

'balance-scale'

'wine'

'autoUniv-au7-1100'

'autoUniv-au7-500'

'mfeat-zernike'

'collins'

'prnn_fglass'

'zoo'

)

datasets=${dataset_names[$PBS_ARRAYID]}

time python main.py -p ${datasets} -s 1000 -f 2 -c 5 -m 10 \

-i 40 -l square -e random_weak \

-t Mproper -a 1.0 -b 0.0 -u results_a10_b0