first add

examples/02_ml_training/train.py

@@ -0,0 +1,32 @@
+"""机器学习训练配置示例"""
+
+import hydra
+from omegaconf import DictConfig
+from rich.console import Console
+from rich.tree import Tree
+
+console = Console()
+
+@hydra.main(version_base=None, config_path="conf", config_name="config")
+def train(cfg: DictConfig) -> None:
+    console.print("\n[bold green]🤖 机器学习训练配置示例[/bold green]\n")
+    
+    tree = Tree("🎯 Training Configuration")
+    
+    model_tree = tree.add("[yellow]Model")
+    model_tree.add(f"Name: {cfg.model.name}")
+    model_tree.add(f"Layers: {cfg.model.layers}")
+    
+    optimizer_tree = tree.add("[cyan]Optimizer")
+    optimizer_tree.add(f"Name: {cfg.optimizer.name}")
+    optimizer_tree.add(f"Learning Rate: {cfg.optimizer.lr}")
+    
+    dataset_tree = tree.add("[magenta]Dataset")
+    dataset_tree.add(f"Name: {cfg.dataset.name}")
+    dataset_tree.add(f"Classes: {cfg.dataset.num_classes}")
+    
+    console.print(tree)
+    console.print("\n[bold green]✅ 配置加载完成！[/bold green]\n")
+
+if __name__ == "__main__":
+    train()