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@pipcook/datacook
Advanced tools
Machine learning and data science library for Javascript / Typescript.
DataCook is built for javascript environment and can run in both node.js platform and browser. DataCook relies on tensorflow.js for basic numeric computation.
DataCook can be installed by npm:
npm install @pipcook/datacook
or by yarn
yarn add @pipcook/datacook
import { Model } from '@pipcook/datacook';
const { LinearRegression } = Model;
const X = [
[4, 5],
[2, 3],
[1, 4],
[3, 8],
];
const y = [10, 5.5, 6.5, 12];
// create model
const lm = new LinearRegression();
// train linear model using feature set X and label set y
await lm.fit(X, y);
// get prediction
const yPred = lm.predict(X);
yPred.print();
// [10, 6, 6, 12]
FAQs
A JavaScript library for feature engineering on datasets
The npm package @pipcook/datacook receives a total of 9 weekly downloads. As such, @pipcook/datacook popularity was classified as not popular.
We found that @pipcook/datacook demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 7 open source maintainers collaborating on the project.
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