chore: update dependencies to latest - #29
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Bump devDependencies to their latest versions and raise the ml-matrix requirement to ^6.14.0, which adds Matrix.transposeMultiply(). TypeScript stays on ^6: typescript-eslint does not support the TS 7 API yet (typescript-eslint/typescript-eslint#10940), so `npm run eslint` fails outright under TS 7.0. Also add .DS_Store to src/.npmignore. Assisted-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
X.transpose().mmul(Y) materialized the transpose and multiplied densely.
transposeMultiply() (new in ml-matrix 6.14.0) streams each shared row as
a rank-1 update and skips zero entries, so both operands stay row-major
and sparse predictors cost far less. The result is identical.
Measured on Node 26, median of 5-40 runs, seeded inputs:
XtY alone fcnnls() end to end
dense X 300x40 Y 300x30 0.39 -> 0.27 ms 4.44 -> 4.40 ms
sparse X 1000x60 Y 1000x50 3.19 -> 0.34 ms 14.53 -> 10.83 ms (1.34x)
sparse X 2000x80 Y 2000x60 10.3 -> 0.73 ms 35.22 -> 25.95 ms (1.36x)
The dense case barely moves because XtY is a small share of the total
work there; on the sparse matrices typical of deconvolution it is around
a quarter of the runtime.
Assisted-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
interceptAtZero was never documented, and the options example assigned
the whole result to `K` even though `info: true` returns `{ K, info }`.
Add an options table with defaults and describe the info shape.
Assisted-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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Bump devDependencies to their latest versions and raise the ml-matrix
requirement to ^6.14.0, which adds Matrix.transposeMultiply().