Find the best $X$ in $A X = B$; where $A$ and $B$ are known. By 'best' it refers to the least-squares (least error) solution.
Multiple RHS are supported (i.e $B$ can be a vector or matrix)
tnt is based off the paper.
the input or data matrix (2D Array)
the known-output vector (1D Array)
TNTOpts
["earlyStopping"]
["maxIterations"]
Information regarding the solution coefficients, their error and iterations. ColumnInfo
Find the best $X$ in $A X = B$; where $A$ and $B$ are known. By 'best' it refers to the least-squares (least error) solution.
Multiple RHS are supported (i.e $B$ can be a vector or matrix)
tnt is based off the paper.
Param: data
the input or data matrix (2D Array)
Param: output
the known-output vector (1D Array)
Param: opts
TNTOpts