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fastlowess-wasm

API Reference

fastlowess-wasm

fastlowess-wasm / SmoothOptions

Interface: SmoothOptions

Section titled “Interface: SmoothOptions”

Defined in: fastlowess_wasm.d.ts:5

Configuration options for LOWESS smoothing.

Properties

Section titled “Properties”

auto_converge?

Section titled “auto_converge?”

optional auto_converge?: number

Defined in: fastlowess_wasm.d.ts:23

Auto-convergence tolerance. Disabled when absent.

boundary_policy?

Section titled “boundary_policy?”

optional boundary_policy?: string

Defined in: fastlowess_wasm.d.ts:19

Boundary handling (“extend”, “reflect”, “zero”, “noboundary”). Default: “extend”.

confidence_intervals?

Section titled “confidence_intervals?”

optional confidence_intervals?: number

Defined in: fastlowess_wasm.d.ts:33

Confidence interval level (e.g. 0.95). Disabled when absent.

cv_fractions?

Section titled “cv_fractions?”

optional cv_fractions?: number[]

Defined in: fastlowess_wasm.d.ts:39

Fractions to test for cross-validation. CV disabled when absent.

cv_k?

Section titled “cv_k?”

optional cv_k?: number

Defined in: fastlowess_wasm.d.ts:43

Number of folds for k-fold CV. Default: 5.

cv_method?

Section titled “cv_method?”

optional cv_method?: string

Defined in: fastlowess_wasm.d.ts:41

CV method (“kfold” or “loocv”). Default: “kfold”.

cv_seed?

Section titled “cv_seed?”

optional cv_seed?: number

Defined in: fastlowess_wasm.d.ts:45

Random seed for CV fold assignment.

delta?

Section titled “delta?”

optional delta?: number

Defined in: fastlowess_wasm.d.ts:11

Delta for interpolation speedup. Default: auto. Set to 0 to disable.

fraction?

Section titled “fraction?”

optional fraction?: number

Defined in: fastlowess_wasm.d.ts:7

Smoothing fraction (0 < fraction <= 1). Default: 0.67.

iterations?

Section titled “iterations?”

optional iterations?: number

Defined in: fastlowess_wasm.d.ts:9

Number of robustness iterations. Default: 3.

parallel?

Section titled “parallel?”

optional parallel?: boolean

Defined in: fastlowess_wasm.d.ts:37

Enable parallel execution. Default: true.

prediction_intervals?

Section titled “prediction_intervals?”

optional prediction_intervals?: number

Defined in: fastlowess_wasm.d.ts:35

Prediction interval level (e.g. 0.95). Disabled when absent.

return_diagnostics?

Section titled “return_diagnostics?”

optional return_diagnostics?: boolean

Defined in: fastlowess_wasm.d.ts:29

Compute diagnostics (RMSE, MAE, R², etc.). Default: false.

return_residuals?

Section titled “return_residuals?”

optional return_residuals?: boolean

Defined in: fastlowess_wasm.d.ts:25

Include residuals in result. Default: false.

return_robustness_weights?

Section titled “return_robustness_weights?”

optional return_robustness_weights?: boolean

Defined in: fastlowess_wasm.d.ts:27

Include robustness weights in result. Default: false.

return_se?

Section titled “return_se?”

optional return_se?: boolean

Defined in: fastlowess_wasm.d.ts:31

Include standard errors in result. Default: false.

robustness_method?

Section titled “robustness_method?”

optional robustness_method?: string

Defined in: fastlowess_wasm.d.ts:15

Robustness method (“bisquare”, “huber”, “talwar”). Default: “bisquare”.

scaling_method?

Section titled “scaling_method?”

optional scaling_method?: string

Defined in: fastlowess_wasm.d.ts:21

Scaling method (“mad”, “mar”, “mean”). Default: “mad”.

weight_function?

Section titled “weight_function?”

optional weight_function?: string

Defined in: fastlowess_wasm.d.ts:13

Kernel function (“tricube”, “epanechnikov”, “gaussian”, “uniform”, “biweight”, “triangle”, “cosine”). Default: “tricube”.

zero_weight_fallback?

Section titled “zero_weight_fallback?”

optional zero_weight_fallback?: string

Defined in: fastlowess_wasm.d.ts:17

Fallback when all weights are zero (“use_local_mean”, “return_original”, “return_none”). Default: “use_local_mean”.