Revert "新建仓库维护数据预测项目"

This reverts commit 516126d2a5.

FC_ML_Optim_Function/Optimizer_Selector.py

@@ -1,52 +0,0 @@
-import torch
-import torch.optim as optim
-
-
-class OptimizerSelector:
-    def __init__(self):
-        self.available_optimizers = {
-            'sgd': '随机梯度下降',
-            'adam': '自适应矩估计',
-            'rmsprop': '均方根传播',
-            'adagrad': '自适应梯度',
-            'adamw': 'Adam权重衰减版'
-        }
-
-    def get_optimizer(self, model_params, name='sgd', **kwargs):
-        """获取配置好的优化器实例
-
-        参数:
-            model_params: 模型参数(可通过model.parameters()获取)
-            name: 优化器类型
-            **kwargs: 优化器专属参数(lr, weight_decay等)
-        """
-        if name == 'sgd':
-            return optim.SGD(model_params, **kwargs)
-        elif name == 'adam':
-            return optim.Adam(model_params, **kwargs)
-        elif name == 'rmsprop':
-            return optim.RMSprop(model_params, **kwargs)
-        elif name == 'adagrad':
-            return optim.Adagrad(model_params, **kwargs)
-        elif name == 'adamw':
-            return optim.AdamW(model_params, **kwargs)
-        else:
-            raise ValueError(f"不支持的优化器，可选: {list(self.available_optimizers.keys())}")
-
-    def print_available(self):
-        """打印支持的优化器列表"""
-        print("可用优化器：")
-        for k, v in self.available_optimizers.items():
-            print(f"{k.ljust(10)} -> {v}")
-
-
-# 使用示例
-if __name__ == "__main__":
-    model = torch.nn.Linear(10, 2)  # 示例模型
-    selector = OptimizerSelector()
-    optimizer = selector.get_optimizer(
-        model.parameters(),
-        name='adamw',
-        lr=0.001,
-        weight_decay=0.01
-    )