A good way is to implement your own data source to load data of matrix
format. You can refer the LibSVM data format (
https://github.com/apache/spark/tree/master/mllib/src/main/scala/org/apache/spark/ml/source/libsvm)
which contains one column of vector type which is very similar with matrix.
Hello all,
I'm trying to load set of medical images(dicom) into spark SQL dataframe. Here
each image is loaded into matrix column of dataframe. I see spark recently
added MatrixUDT to support this kind of cases, but i don't find a sample for
using matrix as column in dataframe.
