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Loess.Interface.LoessInterpolatorParms
commons-math-interpolation / Loess / LoessInterpolatorParms
Defined in: Loess.ts:146
Parameters for createLoessInterpolator.
optional accuracy?: number;Defined in: Loess.ts:124
The accuracy threshold. Must be finite and >= 0. If the median residual is less than or equal to this value, no more robustness iterations are performed. Additionally, if the weighted standard deviation of the x values within a local regression is less than this value, the slope of the local regression line is assumed to be 0.
1E-12optional bandwidthFraction?: number;Defined in: Loess.ts:108
The fraction of the points (with a non-zero weight) that is used for each local regression. Must be greater than 0 and not greater than 1. The resulting number of points is limited to at least 2 and at most all points.
0.3optional diagInfo?: LoessInterpolatorDiagInfo;Defined in: Loess.ts:168
An optional object to receive diagnostics info.
optional interpolationMethod?: BasicInterpolationMethod;Defined in: Loess.ts:155
The interpolation method used to connect the smoothed points (knots).
If there are too few knots for the method, a simpler method is used
(akima → cubic → linear → nearestNeighbor).
If no knots remain, the returned function always returns NaN.
"akima"optional minXDistance?: number;Defined in: Loess.ts:163
The minimum distance in x direction between the knots. Points with an x value that is closer than this to the previous knot are skipped. Points with the same x value as the previous knot are always skipped. The default is 1/100 of the x range of the points.
optional outlierDistanceFactor?: number;Defined in: Loess.ts:135
The outlier distance, relative to the median residual. Must be finite and > 0.
In robustness iterations, points with a residual of at least outlierDistanceFactor * medianResidual
get the robustness weight 0. The other points are weighted with the bisquare function
(1 - (residual / (outlierDistanceFactor * medianResidual))^2)^2.
The median residual is computed over the points with a non-zero weight and a non-NaN smoothed value.
Points with a NaN smoothed value get the robustness weight 0.
6SmoothParms.outlierDistanceFactor
optional robustnessIters?: number;Defined in: Loess.ts:115
The maximum number of additional robustness iterations. 0 for a single regression pass without robustness weighting. Must be an integer >= 0.
2optional weights?: ArrayLike<number>;Defined in: Loess.ts:100
Optional weights of the points. The values must be finite and should not be negative.
Points with weight 0 are ignored for the local regressions, but a smoothed y value is computed for them.
If undefined, all points have the weight 1.
xVals: ArrayLike<number>;Defined in: Loess.ts:88
The x values of the points, in monotonically increasing order. Equal values are allowed. The values must be finite.
yVals: ArrayLike<number>;Defined in: Loess.ts:93
The y values of the points. The values must be finite.