Show HN: Train Core ML models from the command line (github.com)

A new command-line interface (CLI) for training Core ML models on macOS has been introduced through the Create ML framework, allowing developers to train various models—from image classifiers to recommendation systems—without the need for Xcode or Python. Users can organize their data into easily manageable directories and execute training commands directly in the terminal. The CLI supports multiple model types, including image classification, object detection, text analysis, sound classification, and tabular data processing. This capability not only streamlines the development workflow but also makes machine learning more accessible to a broader range of developers. The significance of this development lies in its potential to enhance productivity for AI/ML practitioners by simplifying the model training process. With support for various data formats, including JSON and CSV, the CLI can cater to diverse application needs. Additionally, its functionality allows for custom training parameters and metrics to assess model performance, enriching the user experience and enabling rapid prototyping and iteration. As a result, this tool could foster increased experimentation within the AI/ML community, making it easier for developers to explore new ideas and build innovative applications.