use 5 nodes for model fitting.

multiple_iv_simulations/Makefile

@@ -20,7 +20,7 @@ example_1_jobs: 01_indep_differential.R simulation_base.R ${grid_sweep_script} s
 	${srun} uv run ${grid_sweep_script} --command "Rscript 01_indep_differential.R" --arg_dict '{"N":${Ns},"m":${ms}, "seed":${seeds}, "outfile":["example_1.feather"], "y_explained_variance":${explained_variances}, "Bzx":[1]}' --outfile example_1_jobs
 
 example_1.feather: example_1_jobs my_pylauncher.py
-	sbatch -J "multiple iv measerr correction" skx_1.sbatch my_pylauncher.py $< --cores 1
+	sbatch -J "multiple iv measerr correction" skx_5.sbatch my_pylauncher.py $< --cores 1
 
 remembr.RDS:example_1.feather 
 # 	rm -f remembr.RDS

multiple_iv_simulations/skx_1.sbatch

@@ -2,7 +2,7 @@
 #SBATCH --account=ECS24013
 #SBATCH --partition=skx
 #SBATCH --nodes=1
-#SBATCH --chdir=/scratch/10114/nathante/critical_mass
+#SBATCH --chdir=/scratch/10114/nathante/ml_measurement_error_public/multiple_iv_simulations
 #SBATCH --error="sbatch_log/%x_%A_%a.err"
 #SBATCH --output="sbatch_log/%x_%A_%a.out"
 #SBATCH --time=48:00:00

multiple_iv_simulations/skx_5.sbatch

@@ -0,0 +1,11 @@
+#!/bin/bash
+#SBATCH --account=ECS24013
+#SBATCH --partition=skx
+#SBATCH --nodes=5
+#SBATCH --chdir=/scratch/10114/nathante/ml_measurement_error_public/multiple_iv_simulations
+#SBATCH --error="sbatch_log/%x_%A_%a.err"
+#SBATCH --output="sbatch_log/%x_%A_%a.out"
+#SBATCH --time=48:00:00
+
+source ~/.bashrc
+"$@"