回归任务的自定义损失函数:如均方误差损失函数(Mean Squared Error Loss),平滑L1损失函数(Smooth L1 Loss)等。这些损失函数主要用于解决回归问题,通过衡量模型预测结果与真实标签之间的差异来指导模型的训练。 目标检测任务的自定义损失函数:如YOLO损失函数,SSD损失函数等。这些损失函数主要用于解决目标检测问题,通过衡量模...
{"max_depth":5,"learning_rate":0.001,"bagging_freq":4,"num_iteration":100,"bagging_fraction":0.7, \"feature_fraction":0.6,"max_bin":63,"lambda_l1":0,"lambda_l2":0,"min_data_in_leaf":100}params['metric']='auc_mu'print(params)data=np.load(data)shape1=100shape2=20x_train=np...
raise ValueError('For early stopping, at least one dataset and eval metric is required for evaluation') ValueError: For early stopping, at least one dataset and eval metric is required for evaluation Reproducible examples from sklearn.datasets import make_classification x,y=make_classification(n_sam...