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API Reference

fastloess


fastloess / LoessResult

Defined in: index.d.ts:23

Result of a LOESS fit.

new LoessResult(): LoessResult

LoessResult

get confidence_lower(): Float64Array<ArrayBufferLike> | null

Defined in: index.d.ts:33

Get lower confidence bounds (if requested).

Float64Array<ArrayBufferLike> | null


get confidence_upper(): Float64Array<ArrayBufferLike> | null

Defined in: index.d.ts:35

Get upper confidence bounds (if requested).

Float64Array<ArrayBufferLike> | null


get cv_scores(): Float64Array<ArrayBufferLike> | null

Defined in: index.d.ts:47

Get cross-validation scores (if CV was performed).

Float64Array<ArrayBufferLike> | null


get delta1(): number | null

Defined in: index.d.ts:57

Get first delta statistic (if “se” was requested in outputs).

number | null


get delta2(): number | null

Defined in: index.d.ts:59

Get second delta statistic (if “se” was requested in outputs).

number | null


get diagnostics(): Diagnostics | null

Defined in: index.d.ts:45

Get diagnostics (if requested).

Diagnostics | null


get dimensions(): number

Defined in: index.d.ts:65

Get number of predictor dimensions.

number


get enp(): number | null

Defined in: index.d.ts:53

Get equivalent number of parameters (hat-matrix stat, if “se” was requested in outputs).

number | null


get fraction_used(): number

Defined in: index.d.ts:49

Get the fraction used for smoothing.

number


get gradient(): Float64Array<ArrayBufferLike> | null

Defined in: index.d.ts:43

Get the per-point local fit gradient (flattened, dimensions values per point) (if requested).

Float64Array<ArrayBufferLike> | null


get iterations_used(): number | null

Defined in: index.d.ts:51

Get the number of iterations performed.

number | null


get leverage(): Float64Array<ArrayBufferLike> | null

Defined in: index.d.ts:63

Get per-point leverage / hat-matrix diagonal (if “se” was requested in outputs).

Float64Array<ArrayBufferLike> | null


get prediction_lower(): Float64Array<ArrayBufferLike> | null

Defined in: index.d.ts:37

Get lower prediction bounds (if requested).

Float64Array<ArrayBufferLike> | null


get prediction_upper(): Float64Array<ArrayBufferLike> | null

Defined in: index.d.ts:39

Get upper prediction bounds (if requested).

Float64Array<ArrayBufferLike> | null


get residual_scale(): number | null

Defined in: index.d.ts:61

Get residual scale estimate (if “se” was requested in outputs).

number | null


get residuals(): Float64Array<ArrayBufferLike> | null

Defined in: index.d.ts:29

Get residuals (if requested).

Float64Array<ArrayBufferLike> | null


get robustness_weights(): Float64Array<ArrayBufferLike> | null

Defined in: index.d.ts:41

Get robustness weights (if requested).

Float64Array<ArrayBufferLike> | null


get standard_errors(): Float64Array<ArrayBufferLike> | null

Defined in: index.d.ts:31

Get standard errors (if requested/computed).

Float64Array<ArrayBufferLike> | null


get trace_hat(): number | null

Defined in: index.d.ts:55

Get trace of hat matrix (if “se” was requested in outputs).

number | null


get x(): Float64Array

Defined in: index.d.ts:25

Get the x values (same order as input).

Float64Array


get y(): Float64Array

Defined in: index.d.ts:27

Get the smoothed y values.

Float64Array

predict(newX, options?): PredictOutput

Defined in: index.d.ts:71

Evaluate the fitted model at out-of-sample query points not in the training set.

Requires retain_model: true to have been set on the builder before fit().

Float64Array

PredictOptions | null

PredictOutput