| SparsePlsDa(DoubleMatrix, Factor, Int32, Int32, Int32, Double) Constructor |
Constructs a SparsePlsDa for the given data and options.
Namespace: CenterSpace.NMath.CoreAssembly: NMath (in NMath.dll) Version: 7.4
Syntax public SparsePlsDa(
DoubleMatrix X,
Factor yFactor,
int numComponents,
int[] keepX = null,
int maxIterations = 500,
double tolerance = 1E-06
)
Public Sub New (
X As DoubleMatrix,
yFactor As Factor,
numComponents As Integer,
Optional keepX As Integer() = Nothing,
Optional maxIterations As Integer = 500,
Optional tolerance As Double = 1E-06
)
public:
SparsePlsDa(
DoubleMatrix^ X,
Factor^ yFactor,
int numComponents,
array<int>^ keepX = nullptr,
int maxIterations = 500,
double tolerance = 1E-06
)
new :
X : DoubleMatrix *
yFactor : Factor *
numComponents : int *
?keepX : int[] *
?maxIterations : int *
?tolerance : float
(* Defaults:
let _keepX = defaultArg keepX null
let _maxIterations = defaultArg maxIterations 500
let _tolerance = defaultArg tolerance 1E-06
*)
-> SparsePlsDa
Parameters
- X DoubleMatrix
- Matrix of predictor values.
- yFactor Factor
- Categorical response values.
- numComponents Int32
- The number of components to include in the model.
- keepX Int32 (Optional)
- Vector with length equal to the number of components, the
number of variables to keep in the X loadings for each component. The
default is to keep all variables.
- maxIterations Int32 (Optional)
- Maximum number of iterations. Default is 500.
- tolerance Double (Optional)
- The tolerance used in the iterative algorithm. Default is 1e-6.
See Also