I want to test high dimension data, but I met the valueError problem

[yangkaibigdata]

My source domain input data has 11 features, X=[4898,11], output data Y=[4898,1], target domain input data also has 11 features. the train data is 79,
But I met a problem, the (error_vect[:-n_target]) * self.learning_rate),
ValueError: operands could not be broadcast together with shapes (4898,) (4898,4977) (4898,)
Do you know how to solve this problem? Thank you very much!!!

[jay15summer]

I did not test the code using high-dimensional data. This error should be a matrix dimension mismatch problem. The shape (4898, 4977) looks weird. Can you find out which variable has the shape of (4898, 4977)? Or you have fixed the possible bug already?