
Research
Supply Chain Attack on Axios Pulls Malicious Dependency from npm
A supply chain attack on Axios introduced a malicious dependency, plain-crypto-js@4.2.1, published minutes earlier and absent from the project’s GitHub releases.
@kanaries/ml
Advanced tools
@kanaries/ml is a JavaScript/TypeScript library that provides a set of machine learning algorithms with an API similar to scikit-learn. It works in both browsers and Node.js environments.
# using yarn
yarn add @kanaries/ml
# or npm
npm install @kanaries/ml
import { Neighbors } from '@kanaries/ml';
const trainX = [
[0.12, 0.2, /* ... */ 0.2],
[0.21, 0.3, /* ... */ 0.2],
];
const trainY = [0, 1];
const knn = new Neighbors.KNearstNeighbors(3, 'distance', '2-norm');
knn.fit(trainX, trainY);
const testX = [
[0.52, 0.72, /* ... */ 0.24],
[0.11, 0.98, /* ... */ 0.32],
];
const result = knn.predict(testX);
console.log(result);
The library exposes several categories of algorithms:
DecisionTreeClassifier, DecisionTreeRegressor, ExtraTreeClassifier, ExtraTreeRegressorKNearstNeighbors, BallTree, KDTreeLinearRegression, LogisticRegressionSVC, NuSVC, LinearSVCBernoulliNB, CategoricalNBKMeans, kmeansPlusPlus, DBScan, OPTICS, MeanShift, HDBScanPCASpectralEmbedding, MDS, LocallyLinearEmbedding, TSNEIsolationForest, AdaBoostClassifierasyncMode runs a synchronous function in a worker (Web Worker or Node.js worker thread) and returns a Promise.
import { utils } from '@kanaries/ml';
const heavy = (x: number) => x * x;
const runAsync = utils.asyncMode(heavy);
const result = await runAsync(5);
# Install dependencies
yarn
# Run tests
npm run test
# Build the library
yarn build
# Start the example development server
yarn dev
FAQs
machine learning lib in javascript
We found that @kanaries/ml demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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