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run.sh
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run.sh
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#!/bin/bash
# Prepare folder structure -----------------------------------------#
mkdir results
mkdir results/afad
mkdir results/amrev
mkdir results/bcnb
mkdir results/fgnet
mkdir results/imdb
# Run scripts for each experiment ----------------------------------#
# Suggest running in a high-throughput manner due to runtime, below
# code provides an example only
# fgnet (1.0.X)
for ((i=0; i<600; i++))
do
python3 run.py -e experiment/params/experiment-fgnet-1.0.1.csv --i $i --output_dir results/fgnet/
done
for ((i=0; i<300; i++))
do
python3 run.py -e experiment/params/experiment-fgnet-1.0.2.csv --i $i --output_dir results/fgnet/
done
for ((i=0; i<300; i++))
do
python3 run.py -e experiment/params/experiment-fgnet-1.0.3.csv --i $i --output_dir results/fgnet/
done
for ((i=0; i<1800; i++))
do
python3 run.py -e experiment/params/experiment-fgnet-1.0.4.csv --i $i --output_dir results/fgnet/
done
# bcnb (3.0.X)
for ((i=0; i<240; i++))
do
python3 run.py -e experiment/params/experiment-bcnb-3.0.1.csv --i $i --output_dir results/bcnb/
done
for ((i=0; i<360; i++))
do
python3 run.py -e experiment/params/experiment-bcnb-3.0.2.csv --i $i --output_dir results/bcnb/
done
# amrev (4.0.X)
for ((i=0; i<1200; i++))
do
python3 run.py -e experiment/params/experiment-amrev-4.0.1.csv --i $i --output_dir results/amrev/
done
# imdb (5.0.X)
for ((i=0; i<1200; i++))
do
python3 run.py -e experiment/params/experiment-imdb-5.0.1.csv --i $i --output_dir results/imdb/
done
# afad (6.0.X)
for ((i=0; i<1200; i++))
do
python3 run.py -e experiment/params/experiment-afad-6.0.1.csv --i $i --output_dir results/afad/
done
# After results are available, run the following:
# * analysis/01-primary-analysis.qmd
# * analysis/02-create-figures.R
# * analysis/03-create-tables.qmd