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@stdlib/ml-incr-sgd-regression

Online regression via stochastic gradient descent (SGD).

v0.2.3, 8 Feb 2026Apache-2.0CommonJSTypes: BundledNumbers and mathsAI and machine learning
$ npm install @stdlib/ml-incr-sgd-regression

Key numbers

As of 25 Sept 2026
Weekly downloads
1.9k
- over 12 months
Gzip bundle size
-
No Bundlephobia data
Dependencies
15
Direct, from package.json
Last release
7 months ago
v0.2.3
GitHub stars
6
0 forks
Open issues / PRs
0 / 0
Contributors
-
Commits, last 52 weeks
9

No weekly download data in the snapshot.

1,949 downloads last week, 11,008 in the last month. No 52-week series has been fetched yet.

Releases, last 12 months
-
Latest version
0.2.3, 8 Feb 20267 months ago
First published
-
Last push to GitHub
16 Sept 20269 days before the snapshot
Repository archived
No
Open issues
0
Open pull requests
0
Commits, last 52 weeks
9
Dependents on npm
1

Major versions

-

Recent releases

-

Module format
CommonJSFrom package.json type, main and exports fields
TypeScript types
Bundled
Node.js engine range
>=0.10.0
Runtimes
-
Unpacked size (npm)
94 kB
Dependencies (15)
@stdlib/utils-copy@stdlib/string-format@stdlib/assert-is-array@stdlib/assert-is-string@stdlib/assert-is-boolean@stdlib/math-base-special-max@stdlib/math-base-special-pow@stdlib/assert-is-plain-object@stdlib/error-tools-fmtprodmsg@stdlib/assert-has-own-property@stdlib/assert-is-positive-number@stdlib/assert-is-positive-integer@stdlib/assert-is-nonnegative-number@stdlib/utils-define-nonenumerable-read-only-accessor@stdlib/utils-define-nonenumerable-read-only-property
npm install @stdlib/ml-incr-sgd-regression
  • jsDelivrhttps://cdn.jsdelivr.net/npm/@stdlib/ml-incr-sgd-regression@0.2.3/
  • unpkghttps://unpkg.com/@stdlib/ml-incr-sgd-regression@0.2.3/
  • esm.shhttps://esm.sh/@stdlib/ml-incr-sgd-regression@0.2.3
PackageWeekly downloadsGzipLast releaseModuleComparison
math-clamp-x9.3k-7 years agoESM + CommonJS-
Sources: npm registry, GitHub API. Data fetched 25 Sept 2026.

Indexability: Not indexed (discovery only): downloads_week 1949 < 10000.