ml_helper 0.0.3

A lightweight Dart library for machine learning, with linear regression, preprocessing, and metrics.

Changelog

All notable changes to this package will be documented in this file.

0.0.1 - 2025-05-13

Added

• Initial release of ml_helper.
• Linear Regression model.
• Preprocessing functions: min-max normalization, train/test split.
• Metrics: Mean Squared Error (MSE), Root MSE, R².
• Example workflow in example/main.dart.

0.0.2 - 2025-10-12

Added

• Standardization (Z-score) preprocessing.
• Additional metrics: MAE (Mean Absolute Error). name: ml_helper description: A lightweight Dart library for machine learning. version: 0.0.2

... rest of the file

0.0.3 - 2025-10-11

Added

• Expanded Usage Examples in README.md:
  • Basic linear regression example.
  • Preprocessing with normalization.
  • Train/test split example.
  • Model evaluation metrics (accuracy, F1 score).
  • Math utilities (mean, standard deviation, sigmoid, softmax).

Fixed

• Minor formatting improvements in README for better readability.

Notes

• No changes; fully backward-compatible.