I have a sparse dataset that does not fit into memory. I use a scipy sparse matrix to hold the data but it is rejected by convert_input_frame as being unsupported. As out-of-core training is unsupported (#82) there is no way for me to use perpetual on this dataset.
I have a sparse dataset that does not fit into memory. I use a scipy sparse matrix to hold the data but it is rejected by
convert_input_frameas being unsupported. As out-of-core training is unsupported (#82) there is no way for me to use perpetual on this dataset.