Add command to plot unimodal param variability between models

didactic/scripts/experiments.sh

@@ -261,3 +261,28 @@ for task in scratch finetune xtab-finetune; do
     done
   done
 done
+
+
+# Plot variability of predicted continuum w.r.t. position along the continuum
+rm $HOME/data/didactic/results/plot_models_variability.log
+for task in scratch finetune xtab-finetune; do
+  for contrastive in 0 0.2 1; do
+    for data in "${!time_series_tokenizers[@]}"; do
+      for time_series_tokenizer in ${time_series_tokenizers[${data}]}; do
+        for target in ht_severity; do
+          # Skip attributes w.r.t. predicted continuum for non-ordinal models since the continuum relies on the ordinal predictions
+          # begin w/ ordinal constraint
+          ordinal_mode=True
+          for distribution in poisson binomial; do
+            for tau_mode in learn_sigm learn_fn; do
+              job_path=$task/contrastive=$contrastive/$data/$time_series_tokenizer/$target/ordinal_mode=$ordinal_mode,distribution=$distribution,tau_mode=$tau_mode
+              echo "Plotting variability of predicted continuum w.r.t. position along the continuum between $job_path models" >>$HOME/data/didactic/results/plot_models_variability.log 2>&1
+              python ~/remote/didactic/didactic/scripts/plot_models_variability.py $(find ~/data/didactic/results/cardiac-multimodal-representation/$job_path -name *.ckpt | sort | tr "\n" " ") --data_roots $HOME/dataset/cardinal/v1.0/data --views A4C A2C --hue_attr=ht_severity --output_file=$HOME/data/didactic/results/cardiac-multimodal-representation/$job_path/unimodal_param_variability.svg >>$HOME/data/didactic/results/plot_models_variability.log 2>&1
+            done
+          done
+          # end w/ ordinal constraint
+        done
+      done
+    done
+  done
+done