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apparatus

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library0.9.0jsnpmunverified

Apparatus is an abandoned Node.js package (last updated in 2012, current version 0.0.10) providing a collection of low-level machine learning algorithms. It focuses on numerical input, primarily arrays of numbers and vectors, and is not designed for direct text or natural language processing. Instead, it serves as a foundational library for other projects like the 'natural' package, which adds a layer of text feature extraction. Due to its age, it primarily uses CommonJS modules and is not compatible with modern Node.js ESM-only environments without transpilation or specific configuration. Its lack of maintenance means it should be approached with caution for new projects.

ai-ml
npm install apparatus
github ↗package ↗
INSTALL
IMPORT
SIG · APPARATUS
A
apparatus
ai-mljavascriptv0.9.0
Install
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Import
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Disk
—
Pass rate
0/ 6
Env Coverage0 / 6
glibc
18–22
musl
18–22
Install & Compatibility
Where this runs
tested against v? · npm install
Install × environment matrix
Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux
musl
node 18–226 runs
build_error
glibc
node 18–226 runs
build_error
Code
Verified usage

Verified import paths — ran on the pinned version, not inferred.

BayesClassifier
✓ const bayes = require('apparatus/lib/classifier/bayes_classifier'); const classifier = new bayes.BayesClassifier();
✗ import { BayesClassifier } from 'apparatus'; import { BayesClassifier } from 'apparatus/lib/classifier/bayes_classifier';
Apparatus uses deep CommonJS imports. The main `apparatus` module does not export algorithms directly.
KMeans
✓ const KMeans = require('apparatus/lib/clustering/k_means').KMeans; const k_means = new KMeans();
✗ import { KMeans } from 'apparatus/lib/clustering/k_means'; const KMeans = require('apparatus/lib/clustering/k_means');
Some modules export a named property, `KMeans` in this case. ESM imports are not supported.
LogisticRegression
✓ const LogisticRegression = require('apparatus/lib/regression/logistic_regression').LogisticRegression; const regression = new LogisticRegression();
✗ import LogisticRegression from 'apparatus/lib/regression/logistic_regression';
Similar to KMeans, LogisticRegression is a named export from a deep path within the CommonJS module structure.

Demonstrates training a K-Means clustering model with sample 2D data, including setup and output of clusters and centroids.

const KMeans = require('apparatus/lib/clustering/k_means').KMeans; // Sample data: each inner array is a data point (e.g., [x, y]) const data = [ [1, 1], [1.5, 2], [5, 7], [8, 8], [1, 0.8], [9, 11] ]; const k_means = new KMeans(); // Configure K-Means algorithm // k: number of clusters // iterations: max iterations // threshold: convergence threshold k_means.k = 2; k_means.iterations = 100; k_means.threshold = 0.001; // Train the K-Means model k_means.train(data, (error, result) => { if (error) { console.error('K-Means training error:', error); return; } console.log('K-Means Clusters:'); result.clusters.forEach((cluster, index) => { console.log(` Cluster ${index + 1} Centroid: [${cluster.centroid.join(', ')}]`); console.log(` Points in Cluster ${index + 1}:`, cluster.points); }); });
Debug
Known issues
breakingThe 'apparatus' package has been abandoned since its last commit in March 2012. It is not maintained and is highly unlikely to be compatible with modern Node.js versions (e.g., Node.js 14+). Expect runtime errors related to deprecated APIs, missing polyfills, or C++ native module incompatibilities if any are present.
fix
Avoid using 'apparatus' for new projects. Consider actively maintained alternatives like `ml-matrix`, `scikit-learn` (via Python bridge), or `tensorflow.js` for machine learning in Node.js.
affects: >=0.0.10
gotchaApparatus relies exclusively on CommonJS `require()` syntax and is not designed for ES Modules (ESM). Attempting to use `import` statements will result in a `SyntaxError` unless a transpilation step (e.g., Babel) is configured or Node.js's `--experimental-modules` flag is used with care, which is not recommended for an abandoned library.
fix
Always use `const MyClass = require('apparatus/lib/path/to/module').MyClass;` for all imports.
affects: >=0.0.10
gotchaThe package provides low-level numerical algorithms. It does not include features for natural language processing (NLP), image processing, or complex data pre-processing. Users are expected to prepare their data into arrays of numbers or vectors before passing them to apparatus algorithms.
fix
For text processing, consider the 'natural' package (which uses apparatus internally but adds NLP layers) or other specialized libraries. For other data types, perform necessary feature extraction and vectorization externally.
affects: >=0.0.10
deprecatedDue to its abandonment, 'apparatus' lacks security updates, bug fixes, or performance improvements. Using it in production environments carries significant risks, including potential vulnerabilities or unexpected behavior with evolving JavaScript runtimes.
fix
Migrate to a currently maintained machine learning library. If migration is not immediately feasible, thoroughly audit the codebase for security concerns and isolate its usage to minimize risk.
affects: >=0.0.10
Errors
Common errors & fixes
TypeError: Class constructor KMeans cannot be invoked without 'new'
Attempting to call the `KMeans` constructor (or similar algorithm classes) as a function without the `new` keyword.
fix
Instantiate the class using `const k_means = new KMeans();` instead of `const k_means = KMeans();`.
Error: Cannot find module 'apparatus/lib/clustering/k_means'
Incorrect import path or the 'apparatus' package is not installed correctly or is not accessible from the current working directory.
fix
Ensure 'apparatus' is installed (`npm install apparatus`) and verify the exact path `require('apparatus/lib/...')` matches the structure within `node_modules`. Paths are case-sensitive.
SyntaxError: Cannot use import statement outside a module
Attempting to use ES module `import` syntax (`import { KMeans } from 'apparatus/lib/...'`) in a Node.js environment that expects CommonJS modules.
fix
Replace `import` statements with CommonJS `require()` calls: `const KMeans = require('apparatus/lib/clustering/k_means').KMeans;`.
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Version history
0.9.0latest on npm
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Dependencies

No dependency data recorded yet.

Agent activity
21 hits · last 30 days
node
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OpenAI (training)
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Resources
githubhttps://github.com/NaturalNode/apparatus ↗
packagehttps://www.npmjs.com/package/apparatus ↗
apparatus — npm install apparatus · libregistry