I am using scikit-learning to do some dimension reduce task. My training/test data is in the libsvm format. It is a large sparse matrix in half million columns.
I use load_svmlight_file function load the data, and by using SparsePCA, the scikit-learning throw out an exception of the input data error.
How to fix it?