diff --git a/experiments/daic/testing/cali_16each.sh b/experiments/daic/testing/cali_16each.sh new file mode 100644 index 0000000000000000000000000000000000000000..8db0cba7b45f756bb4edaf2c811078d4fc60553b --- /dev/null +++ b/experiments/daic/testing/cali_16each.sh @@ -0,0 +1,15 @@ +#!/bin/bash + +#SBATCH --job-name="Grid-search California Housing (ECCCo)" +#SBATCH --time=01:00:00 +#SBATCH --ntasks=100 +#SBATCH --cpus-per-task=1 +#SBATCH --partition=general +#SBATCH --mem-per-cpu=4GB +#SBATCH --mail-type=END # Set mail type to 'END' to receive a mail when the job finishes. + +module use /opt/insy/modulefiles # Use DAIC INSY software collection +module load openmpi + +srun julia --project=experiments experiments/run_experiments.jl -- data=california_housing output_path=results mpi grid_search n_individuals=10 n_each=16 > experiments/grid_search_california_housing.log + diff --git a/experiments/daic/testing/cali_4each.sh b/experiments/daic/testing/cali_4each.sh new file mode 100644 index 0000000000000000000000000000000000000000..5d9c747062612ca80092ea78db81d41c71639e38 --- /dev/null +++ b/experiments/daic/testing/cali_4each.sh @@ -0,0 +1,15 @@ +#!/bin/bash + +#SBATCH --job-name="Grid-search California Housing (ECCCo)" +#SBATCH --time=01:00:00 +#SBATCH --ntasks=100 +#SBATCH --cpus-per-task=1 +#SBATCH --partition=general +#SBATCH --mem-per-cpu=4GB +#SBATCH --mail-type=END # Set mail type to 'END' to receive a mail when the job finishes. + +module use /opt/insy/modulefiles # Use DAIC INSY software collection +module load openmpi + +srun julia --project=experiments experiments/run_experiments.jl -- data=california_housing output_path=results mpi grid_search n_individuals=10 n_each=4 > experiments/grid_search_california_housing.log + diff --git a/experiments/setup_env.jl b/experiments/setup_env.jl index 1f92ef116aa53eef8ffe439a7304e34a49ba5c0f..608f6dc037d46e3dcb449f2e4508c5d1cc7e715b 100644 --- a/experiments/setup_env.jl +++ b/experiments/setup_env.jl @@ -196,7 +196,7 @@ DEFAULT_GENERATOR_TUNING = ( "Generator tuning parameters for large datasets." DEFAULT_GENERATOR_TUNING_LARGE = ( Λ = [[0.1, 0.1, 0.1], [0.1, 0.1, 0.2], [0.2, 0.2, 0.2]], - reg_strength = [0.0, 0.1, 0.25,], + reg_strength = [0.0,], opt = [ Descent(0.01), Descent(0.05),