feat: integrate QSVM and ECOD into ML analytics pipeline

Author: karmakar-rahul

Frontend/Dashboard/src/lib/api.ts

@@ -60,6 +60,10 @@ export interface FeatureImportanceItem {
   feature: string;
   importance: number;
 }
+export interface ROCPoint {
+  fpr: number;
+  tpr: number;
+}
 
 export interface MLMetrics {
   accuracy: number;
@@ -76,6 +80,7 @@ export interface MLMetrics {
   threshold: number;
   evaluated_at?: string;
   feature_importance?: FeatureImportanceItem[];
+  roc_curve: ROCPoint[];
   calibration?: {
     precision_target: number | null;
     calibration_precision: number;
@@ -105,6 +110,7 @@ export interface SupervisedModelResult {
   feature_importance: FeatureImportanceItem[];
   feature_importance_label: string;
   train_seconds: number;
+  roc_curve: ROCPoint[];
 }
 
 export interface SupervisedComparison {
@@ -145,6 +151,37 @@ export interface LanlComparison {
   note: string;
 }
 
+// Standalone QSVM subsample experiment (train_qsvm.py) - NOT part of
+// SupervisedComparison's models[] array. Different sample size and
+// PCA-reduced feature space than the other supervised models, so it's
+// kept as its own type/endpoint rather than shoehorned into
+// SupervisedModelResult, to avoid implying a 1:1 comparison.
+export interface QsvmExperiment {
+  model_key: "qsvm";
+  model: string;
+  accuracy: number;
+  precision: number;
+  recall: number;
+  f1: number;
+  roc_auc: number;
+  pr_auc: number;
+  tn: number;
+  fp: number;
+  fn: number;
+  tp: number;
+  threshold: number;
+  train_seconds: number;
+  sample_size: number;
+  train_size: number;
+  cal_size: number;
+  test_size: number;
+  n_qubits: number;
+  pca_explained_variance: number;
+  feature_map: string;
+  roc_curve: ROCPoint[];
+  note: string;
+}
+
 async function getJSON<T>(path: string): Promise<T> {
   const response = await fetch(`${API_BASE}${path}`);
   if (!response.ok) {
@@ -166,6 +203,7 @@ export const api = {
   getMLMetrics: () => getJSON<MLMetrics>("/ml"),
   getSupervisedComparison: () => getJSON<SupervisedComparison | null>("/ml/supervised-comparison"),
   getLanlComparison: () => getJSON<LanlComparison | null>("/ml/lanl-comparison"),
+  getQsvmExperiment: () => getJSON<QsvmExperiment | null>("/ml/qsvm-experiment"),
   getSystemStatus: () => getJSON<SystemStatus>("/system"),
 };
 

Frontend/Dashboard/src/lib/queries.ts

@@ -82,6 +82,18 @@ export function useLanlComparison() {
   });
 }
 
+export function useQsvmExperiment() {
+  return useQuery({
+    queryKey: ["ml-qsvm-experiment"],
+    queryFn: api.getQsvmExperiment,
+    // This is a one-off, manually-run experiment (~2hrs to regenerate),
+    // not a recurring pipeline output - no need to poll every 60s like
+    // the other panels.
+    refetchInterval: false,
+    staleTime: Infinity,
+  });
+}
+
 export function useSystemStatus() {
   return useQuery({
     queryKey: ["system-status"],