I am working on factor analysis model using greta on large count and binary matrices where most values are zero. I know it is possible to convert R Matrix
dgCMatrix format to numpy sparse arrays with reticulate. So, I am wondering if it is straightforward to add support for sparse matrices in
Also on the topic of large data, in the current version is it possible to change the dtype of tensor objects from
float32 or from
int16 to reduce memory footprint of the data and large parameter tensors?
Thanks a lot,