Merge branch '85-overshooting' of https://github.com/pat-alt/ECCCo.jl into 85-overshooting

experiments/fmnist.jl

@@ -62,6 +62,9 @@ params = (
     dim_reduction = true,
 )
 
+# Best grid search params:
+params = append_best_params(params, dataname)
+
 if GRID_SEARCH
     grid_search(
         counterfactual_data,

experiments/jobscripts/generators/fmnist.sh

@@ -2,7 +2,7 @@
 
 #SBATCH --job-name="Fashion MNIST (ECCCo)"
 #SBATCH --time=05:00:00
-#SBATCH --ntasks=40
+#SBATCH --ntasks=50
 #SBATCH --cpus-per-task=10
 #SBATCH --partition=compute
 #SBATCH --mem-per-cpu=10GB
@@ -13,4 +13,4 @@ module load 2023r1 openmpi
 
 source experiments/slurm_header.sh
 
-srun julia --project=experiments --threads $SLURM_CPUS_PER_TASK experiments/run_experiments.jl -- data=fmnist output_path=results mpi threaded n_individuals=50 n_runs=10 > experiments/logs/fmnist.log
+srun julia --project=experiments --threads $SLURM_CPUS_PER_TASK experiments/run_experiments.jl -- data=fmnist output_path=results mpi threaded n_individuals=100 n_runs=5 > experiments/logs/fmnist.log

experiments/jobscripts/generators/mnist.sh

@@ -2,10 +2,10 @@
 
 #SBATCH --job-name="MNIST (ECCCo)"
 #SBATCH --time=05:00:00
-#SBATCH --ntasks=40
+#SBATCH --ntasks=50
 #SBATCH --cpus-per-task=10
 #SBATCH --partition=compute
-#SBATCH --mem-per-cpu=10GB
+#SBATCH --mem-per-cpu=12GB
 #SBATCH --account=research-eemcs-insy
 #SBATCH --mail-type=END     # Set mail type to 'END' to receive a mail when the job finishes. 
 
@@ -13,4 +13,4 @@ module load 2023r1 openmpi
 
 source experiments/slurm_header.sh
 
-srun julia --project=experiments --threads $SLURM_CPUS_PER_TASK experiments/run_experiments.jl -- data=mnist output_path=results mpi threaded n_individuals=50 n_runs=10 > experiments/logs/mnist.log
+srun julia --project=experiments --threads $SLURM_CPUS_PER_TASK experiments/run_experiments.jl -- data=mnist output_path=results mpi threaded n_individuals=100 n_runs=5 > experiments/logs/mnist.log

experiments/mnist.jl

@@ -62,6 +62,9 @@ params = (
     dim_reduction = true,
 )
 
+# Best grid search params:
+params = append_best_params(params, dataname)
+
 if GRID_SEARCH
     grid_search(
         counterfactual_data,