feat: 完成 issue #80 [Ti-2] 跨工序寻优模型训练（纯标准库岭回归+多目标关联建模+R2评估+可解释权重+JSON序列化）

templates/ti-cl4/recipe-optim/_sanity_check.py

@@ -9,6 +9,7 @@ import sys
 sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
 from problem import ConstraintKind, OptimizationProblem, load_problem  # noqa: E402
 from solver import SolverConfig, solve  # noqa: E402
+from cross_process import CrossProcessModel, CrossProcessModelConfig, CrossProcessSample  # noqa: E402
 
 CONFIG = os.path.join(os.path.dirname(os.path.abspath(__file__)),
                       "config", "recipe_optim.template.yaml")
@@ -56,12 +57,26 @@ def main() -> int:
     if sol.strategy != "grid":
         failures.append(f"求解策略非 grid: {sol.strategy}")
 
+    # 7) 跨工序关联模型（#80）端到端：合成线性数据训练 + R² 评估
+    cfg = CrossProcessModelConfig(
+        upstream_features=["up"], downstream_targets=["down"],
+        alpha=0.0, min_samples=8)
+    samples = [CrossProcessSample(upstream={"up": float(i)},
+                                  downstream={"down": 2.0 * float(i) + 1.0})
+               for i in range(12)]
+    cm = CrossProcessModel(cfg).fit(samples)
+    report = cm.evaluate(samples)
+    if not cm.fitted:
+        failures.append("跨工序模型未训练成功")
+    if not (report.get("r2_down", 0.0) > 0.99):
+        failures.append(f"跨工序模型 R² 过低: {report}")
+
     if failures:
         print("❌ recipe-optim 自检失败:")
         for f in failures:
             print("  -", f)
         return 1
-    print("✅ recipe-optim 自检通过（6 能力点）")
+    print("✅ recipe-optim 自检通过（7 能力点）")
     return 0