UPDATE algorithm 
SET default_hyper_params = '[{"name": "RBF 平滑尺度", "key": "rbf_length_scale", "description": "控制模型整体平滑程度。值越小模型越敏感，值越大预测曲线越平滑。", "default": 1.0, "range": [0.01, 100], "category": "基础参数"}, {"name": "RQ 平滑尺度", "key": "rq_length_scale", "description": "控制多尺度变化的平滑程度，用于描述局部变化特征。", "default": 1.0, "range": [0.01, 100], "category": "基础参数"}, {"name": "RQ 多尺度系数", "key": "rq_alpha", "description": "控制多尺度变化强度。值越小多尺度变化越明显，值越大模型趋近于RBF。", "default": 1.0, "range": [0.1, 10]}, {"name": "噪声水平", "key": "noise_level", "description": "数据观测噪声大小，用于提升模型鲁棒性。", "default": 1.0E-5, "range": [1.0E-8, 0.1], "category": "基础参数"}, {"name": "优化重启次数", "key": "optimizer_restarts", "description": "模型超参数优化时的随机重启次数，用于避免陷入局部最优。", "default": 5, "range": [0, 20], "category": "训练参数"}]'
WHERE algorithm_type = 'GPR';
