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fastloess-wasm

Changelog

Changelog

Section titled “Changelog”

This changelog includes end-user changes only. For internal development notes, see the repository changelog.

3.0.0

Section titled “3.0.0”

Added

Section titled “Added”
  • Added OnlineLoess.add_point_vector() for multivariate Online point updates.
  • Added version() to report the WASM binding package version.
  • Added cv to the Batch options interface for grouped cross-validation configuration alongside legacy fields.
  • Added outputs arrays to Batch, Streaming, Online, and prediction options for grouped optional result selection.
  • Added retain_model and LoessResult.predict(newX, options) for out-of-sample prediction.
  • Added return_gradient to SmoothOptions, StreamingOptions, and OnlineOptions.
  • Added confidence_intervals/prediction_intervals/return_se to Streaming and Online options; Online requires update_mode: "full". Added the corresponding OnlineOutput bound fields and TypeScript types.

Changed

Section titled “Changed”
  • Clarified Batch residual_sd as 1.4826 * MAD; Streaming reports the cumulative sample standard deviation of emitted residuals.
  • Breaking change: replaced individual return_* output booleans with outputs: [...] for Batch, Streaming, Online, and prediction options.
  • Breaking change: replaced flat interval options and prediction levels with intervals: { confidence, prediction }; CV uses only cv: { fractions, method, k } with an outer seed, replacing flat CV options and cv.seed. Legacy and unknown option keys are rejected.

Fixed

Section titled “Fixed”

  • Use the fitted model’s kernel for unweighted, unpadded one-dimensional linear prediction standard errors without robustness downweighting, with smoothing influence rows and global residual degrees of freedom, including interpolation; align prediction-interval residual scales.

  • Correct tied-coordinate interpolation splits and normalized cell geometry, add two-dimensional neighboring-edge blending, and match R’s neighborhood rounding near integer span boundaries.

  • Preserve zero interpolation subdivision thresholds to match R’s small-span cell trees, retaining terminal observation vertices and correcting interpolated fits on small datasets.

  • Normalize local case weights by their neighborhood maximum so common scaling cannot turn valid positive weights into an epsilon-triggered unweighted fallback.

  • Prevented overflow in even medians, mean/bisquare scales, Batch/Streaming diagnostics and AIC, and local/all-tied weight sums for large finite inputs.

  • Restored TypeScript declarations for retained prediction and weighted Streaming, documented and validated the JavaScript-safe CV seed range, and strengthened interval output assertions.

  • Validate case-weight lengths and values before dropping missing observations, so invalid weights on dropped rows are not silently ignored.

  • Preserve case weights through sorted CV training subsets and multidimensional predictions. Serial and parallel CV now agree on seeded folds and held-out LOOCV predictions; K-fold counts above the retained observation count are rejected.

  • Reject non-positive or non-finite Streaming/Online auto-convergence tolerances. Online auto-convergence requires full updates with robustness iterations.

  • Include all observations for Gaussian smoothing and prediction while preserving the k-th-neighbor bandwidth; use the true exponential without an artificial tail floor.

  • Correct case-weighted standard errors for direct, unpadded one-dimensional linear fits and retained prediction, with matching serial/parallel local moments. Span-one fits no longer substitute a kernel-free global OLS formula.

  • Honor configured zero-weight fallback policies in constant-degree, zero-bandwidth, insufficient-neighbor, and coefficient-fit paths.

  • Match R LOESS’s even-sample bisquare MAR scale arithmetic, including extremely small residuals, while preserving the centered-MAD fallback.

  • Aligned OnlineLoess defaults across the Rust core and bindings: iterations is now 0 with the default update_mode = "incremental"; positive robustness iterations require update_mode = "full".

  • Reject unknown option keys and mode-inappropriate output names; return owned typed-array copies that remain valid after freeing result owners.

2.0.0

Section titled “2.0.0”

Added

Section titled “Added”
  • Fixed the generated onlineoptions.md TypeDoc page stating stale defaults (min_points: 3, update_mode: "full") that no longer matched the already-correct source.

1.1.0

Section titled “1.1.0”

Added

Section titled “Added”
  • Added a GitHub Pages landing page at the repository root, built from README.md via pandoc and deployed by docs.yml.

Changed

Section titled “Changed”

Fixed

Section titled “Fixed”
  • Fixed .cargo/config.toml hardcoding absolute c:/rtools45/... paths for the x86_64-pc-windows-gnu linker and ar tool; it now uses bare tool names resolved via PATH.

1.0.0

Section titled “1.0.0”

Fixed

Section titled “Fixed”
  • Fixed OnlineLoess.add_point() returning undefined instead of null when the sliding window has not yet accumulated enough points.

Changed

Section titled “Changed”
  • Moved the tutorials/ pages into a new user-guide/use-cases/ section.
  • Split StreamingLoess/OnlineLoess content into dedicated API reference pages and standardized API examples with expected output comments.
  • Breaking: Renamed OnlineOutput’s smoothed and std_error getters to y and standard_error.

0.9.0

Section titled “0.9.0”

Added

Section titled “Added”

  • Added the WebAssembly binding.

  • Added weighted Streaming/Online updates, Online window diagnostics, and prediction from the current window.