MATLAB for Machine Learning
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Unsupported datatypes

These are as follows:

  • Complex numbers.
  • Custom numeric datatypes, for example, a variable that is double precision and an object.
  • Signed or unsigned numeric integers for non-grouping data, for example, unint8 and int16.
  • Sparse matrices, for example, matrix ONE such that issparse(ONE) returns 1. To use data that is of datatype sparse, recast the data to a matrix using full.