Show HN: Plexe – ML Models from a Prompt

plexe ✨ Build machine learning models using natural language. Quickstart | Features | Installation | Documentation plexe lets you create machine learning models by describing them in plain language. Simply explain what you want, and the AI-powered system builds a fully functional model through an automated agentic approach. Also available as a managed cloud service. demo.mp4 1. Quickstart Installation pip install plexe Using plexe You can use plexe as a Python library to build and train machine learning models: import plexe # Define the model model = plexe . Model ( intent = "Predict sentiment from news articles" , input_schema = { "headline" : str , "content" : str }, output_schema = { "sentiment" : str } ) # Build and train the model model . build ( datasets = [ your_dataset ], provider = "openai/gpt-4o-mini" , max_iterations = 10 ) # Use the model prediction = model . predict ({ "headline" : "New breakthrough in renewable energy" , "content" : "Scientists announced a major a ... Read full article.