Machine Learning Utilities

A comprehensive set of utilities for machine learning tasks in JavaScript, specifically tailored for Node.js environment. This package provides functionalities for data preprocessing, model selection, evaluation, and more.

Installation

You can install this package via npm:

npm install machine-learning-utils

Usage

const MLUtils = require('machine-learning-utils');

// Example usage of data preprocessing
const data = [[1, 2], [3, NaN], [5, 6]];
const standardizedData = MLUtils.standardize(data);
console.log('Standardized data:', standardizedData);

// Example usage of model evaluation
const model = MLUtils.trainClassifier(data, [0, 1, 1]);
const testData = [[2, 4], [4, 6]];
const testLabels = [0, 1];
const accuracy = MLUtils.evaluate(model, testData, testLabels);
console.log('Model accuracy:', accuracy);

Features

• Data Preprocessing: Standardization, normalization, handling missing data, encoding categorical variables.
• Feature Engineering: Principal Component Analysis, feature selection.
• Model Selection and Evaluation: k-fold cross-validation, hyperparameter tuning, evaluation metrics.
• Supervised Learning Algorithms: Classification, regression.
• Unsupervised Learning Algorithms: Clustering, anomaly detection.
• Neural Networks: Building and training neural networks.
• Model Deployment: Serialization and deserialization of trained models.

Contributing

Contributions are welcome! If you have any ideas, suggestions, or bug fixes, feel free to open an issue or submit a pull request.

License

This package is open source and available under the MIT License.