rm_missing

rm_missing(matrix: any[] | Mat | Tensor, dim: number) : any[] | Mat | Tensor

param matrix - the input to remove the missing values of

param dim '0' or '1' : 0 means delete the whole column, 1 means delete the whole row. Default is '0'.

returns: any[] | Mat | Tensor - returns the corresponding input with missing values removed.

This function takes the input, and deletes the columns (default) or rows (if dim=1) that have missing values. Note that this also deletes some valid values in most cases.

Also, note that null, NaN, '' and undefined are defined to be missing values. [] and {} are not.

This is useful when you simply want to remove missing data values and not handle it. This can perhaps be appropriate for a very large Array where the missing values are sparse and you dont want to fill it with false values.