Revert "新建仓库维护数据预测项目"

This reverts commit 516126d2a5.

FC_ML_NN/NN_Kriging.py

@@ -1,34 +0,0 @@
-import torch
-import torch.nn as nn
-
-
-class OrdinaryKriging(nn.Module):
-    def __init__(self, variogram_model='gaussian'):
-        super().__init__()
-        self.variogram_model = variogram_model
-
-    def forward(self, known_coords, known_values, target_coords):
-        # 计算距离矩阵
-        dists = torch.cdist(known_coords, known_coords)
-        target_dists = torch.cdist(target_coords, known_coords)
-
-        # 半变异函数（高斯模型）
-        if self.variogram_model == 'gaussian':
-            gamma = 1.0 - torch.exp(-(dists ** 2) / 0.5)
-            target_gamma = 1.0 - torch.exp(-(target_dists ** 2) / 0.5)
-
-        # 构建克里金矩阵（添加拉格朗日乘子）
-        K = torch.cat([
-            torch.cat([gamma, torch.ones(len(known_coords), 1)], dim=1),
-            torch.cat([torch.ones(1, len(known_coords)), torch.zeros(1, 1)], dim=1)
-        ])
-
-        # 求解权重
-        weights = torch.linalg.solve(
-            K,
-            torch.cat([known_values, torch.zeros(1)])
-        )
-
-        # 预测值
-        pred = (weights[:-1] * known_values).sum()
-        return pred