fit (train_dataset,train_label),但是fit(X,y,sample_weight=None)的拟合参数有数组(X).dim< 2和数组(Y).dim<2。训练时出错:
ValueError: Foundarray with dim3.Estimatorexpected <= 2.
可以使用以下代码生成错误ValueError: Foundarray with dim3.Estimatorexpected <= 2. CCA_model = CCA(n_componentsinput_arr = [[[k*-1+j*-i*-1 for k in range(125)] for j in range(2)] for i in range(189
我试图解析这个文件来运行多特征回归,但是我得到了一个"ValueError: Found with dim3.Estimator <= 2.“。顺便说一句,输入必须是一个浮点数吗?splitted = line.split() lsty.append(float(splitted[10]))
x = x_.asty