fix(argo): auto-adjust n-initial when trials < 5

Hyperopt requires trials > n_initial. When running quick smoke tests
with few trials, auto-reduce n_initial to trials-1 so workflows don't
fail with "trials must be greater than n_initial".

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

infra/k8s/argo/training-workflow-template.yaml

@@ -155,11 +155,17 @@ spec:
               *)       BINARY=hyperopt_baseline_supervised ;;
             esac
 
-            echo "Running $BINARY --model $MODEL ({{workflow.parameters.hyperopt-trials}} trials x {{workflow.parameters.hyperopt-epochs}} epochs)"
+            TRIALS={{workflow.parameters.hyperopt-trials}}
+            N_INITIAL=5
+            if [ "$TRIALS" -le "$N_INITIAL" ]; then
+              N_INITIAL=$((TRIALS > 1 ? TRIALS - 1 : 1))
+            fi
+
+            echo "Running $BINARY --model $MODEL ($TRIALS trials, $N_INITIAL initial x {{workflow.parameters.hyperopt-epochs}} epochs)"
             $BINARY \
               --model "$MODEL" \
-              --trials {{workflow.parameters.hyperopt-trials}} \
-              --n-initial 5 \
+              --trials "$TRIALS" \
+              --n-initial "$N_INITIAL" \
               --epochs {{workflow.parameters.hyperopt-epochs}} \
               --parallel 0 \
               --symbol {{workflow.parameters.symbol}} \