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fastloess

API Reference

fastloess

fastloess / StreamingSmoothOptions

Interface: StreamingSmoothOptions

Section titled “Interface: StreamingSmoothOptions”

Defined in: index.d.ts:317

Configuration options for streaming LOESS smoothing.

A subset of [SmoothOptions]: cross-validation is Batch-only and has no equivalent here, so it isn’t a field on this type.

Properties

Section titled “Properties”

auto_converge?

Section titled “auto_converge?”

optional auto_converge?: number

Defined in: index.d.ts:333

Auto-convergence tolerance. Default: None.

boundary_degree_fallback?

Section titled “boundary_degree_fallback?”

optional boundary_degree_fallback?: boolean

Defined in: index.d.ts:354

Reduce polynomial degree to linear at boundary vertices (default true).

boundary_policy?

Section titled “boundary_policy?”

optional boundary_policy?: string

Defined in: index.d.ts:329

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

cell?

Section titled “cell?”

optional cell?: number

Defined in: index.d.ts:350

Interpolation cell size (default 0.2). Smaller = more vertices, higher accuracy.

degree?

Section titled “degree?”

optional degree?: string

Defined in: index.d.ts:340

Polynomial degree (“constant”, “linear”, “quadratic”, etc.). Default: “linear”.

dimensions?

Section titled “dimensions?”

optional dimensions?: number

Defined in: index.d.ts:342

Number of predictor dimensions. Default: 1.

distance_metric?

Section titled “distance_metric?”

optional distance_metric?: string

Defined in: index.d.ts:344

Distance metric (“normalized”, “euclidean”, “manhattan”, “chebyshev”, “minkowski:p”, “weighted”). Default: “normalized”.

fraction?

Section titled “fraction?”

optional fraction?: number

Defined in: index.d.ts:319

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

interpolation_vertices?

Section titled “interpolation_vertices?”

optional interpolation_vertices?: number

Defined in: index.d.ts:352

Maximum number of interpolation vertices.

intervals?

Section titled “intervals?”

optional intervals?: IntervalsOptions

Defined in: index.d.ts:336

iterations?

Section titled “iterations?”

optional iterations?: number

Defined in: index.d.ts:321

Number of robustness iterations. Default: 3.

missing?

Section titled “missing?”

optional missing?: string

Defined in: index.d.ts:356

Policy for non-finite (NaN/Inf) values in each chunk (“error”, “drop”). Default: “error”.

outputs?

Section titled “outputs?”

optional outputs?: string[]

Defined in: index.d.ts:335

Optional output components: diagnostics, residuals, weights, gradient (or derivative), se.

parallel?

Section titled “parallel?”

optional parallel?: boolean

Defined in: index.d.ts:338

Enable parallel execution. Default: true.

robustness_method?

Section titled “robustness_method?”

optional robustness_method?: string

Defined in: index.d.ts:325

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

scaling_method?

Section titled “scaling_method?”

optional scaling_method?: string

Defined in: index.d.ts:331

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

surface_mode?

Section titled “surface_mode?”

optional surface_mode?: string

Defined in: index.d.ts:348

Surface mode (“interpolation” or “direct”). Default: “interpolation”.

weight_function?

Section titled “weight_function?”

optional weight_function?: string

Defined in: index.d.ts:323

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

weighted_metric_weights?

Section titled “weighted_metric_weights?”

optional weighted_metric_weights?: number[]

Defined in: index.d.ts:346

Per-dimension weights for the “weighted” distance metric.

zero_weight_fallback?

Section titled “zero_weight_fallback?”

optional zero_weight_fallback?: string

Defined in: index.d.ts:327

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