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CHANGELOG.md

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<details>
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- [`a103b47`](https://github.com/stdlib-js/stdlib/commit/a103b474ac08bc97bfdeac4674230abc02d17ae5) - **docs:** fix descriptions [(#13696)](https://github.com/stdlib-js/stdlib/pull/13696) _(by Philipp Burckhardt)_
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- [`da058d7`](https://github.com/stdlib-js/stdlib/commit/da058d7ee15bdcafaa135ec0a775019119dc8544) - **feat:** add `ml/base/sgd-classification/penalty-resolve-enum` [(#13670)](https://github.com/stdlib-js/stdlib/pull/13670) _(by Nakul Krishnakumar, Athan Reines)_
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- [`e4e3f3f`](https://github.com/stdlib-js/stdlib/commit/e4e3f3f16ff3c8490d17662023252386135f87de) - **feat:** add `ml/base/sgd-classification/penalty-resolve-str` [(#13669)](https://github.com/stdlib-js/stdlib/pull/13669) _(by Nakul Krishnakumar, Athan Reines)_
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- [`4bc56fc`](https://github.com/stdlib-js/stdlib/commit/4bc56fc55ec80917bcd3410c4ddee664776be53a) - **feat:** add support for `none` to indicate no regularization [(#13672)](https://github.com/stdlib-js/stdlib/pull/13672) _(by Nakul Krishnakumar, Athan Reines)_

incr/sgd-regression/lib/validate.js

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* @param {PositiveNumber} [options.eta0] - constant learning rate
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* @param {PositiveNumber} [options.lambda] - regularization parameter
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* @param {string} [options.learningRate] - the learning rate to use
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* @param {string} [options.loss] - the loss function to use
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* @param {string} [options.loss] - the loss function to use
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* @param {boolean} [options.intercept] - specifies whether an intercept should be included
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* @returns {(Error|null)} null or an error object
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