mnist daic

experiments/daic/tuning/generators/mnist.sh

@@ -5,7 +5,7 @@
 #SBATCH --ntasks=30
 #SBATCH --cpus-per-task=10
 #SBATCH --partition=general
-#SBATCH --mem-per-cpu=4GB
+#SBATCH --mem-per-cpu=6GB
 #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
@@ -13,4 +13,4 @@ module load 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 grid_search threaded n_individuals=10 > experiments/logs/grid_search_mnist.log
+srun julia --project=experiments --threads $SLURM_CPUS_PER_TASK experiments/run_experiments.jl -- data=mnist output_path=results mpi grid_search threaded n_individuals=10 n_each=10 > experiments/logs/grid_search_mnist.log

experiments/post_processing/results.jl

@@ -15,7 +15,7 @@ function summarise_outcome(
     df =
         groupby(bmk(), [:dataname, :generator, :model, :variable]) |>
         x ->
-            combine(x, :value => mean => :mean, :value => std => :std) |>
+            combine(x, :value => mean => :mean, :value => std => :std_wg) |>
             x -> subset(x, :variable => ByRow(x -> x ∈ measure))
     if !isnothing(model)
         df = subset(df, :model => ByRow(x -> x ∈ model))