PostgresML is an innovative MLops platform designed as a PostgreSQL extension, enabling rapid model creation directly within the database.
PostgresML is a comprehensive MLops platform that operates seamlessly as an extension of PostgreSQL. It allows users to develop potent machine learning models straight from their database, resulting in enhanced efficiency, reduced latency, and cost-effectiveness. The platform simplifies the machine learning workflow through its user-friendly interface and robust functionality. Users can quickly train, deploy, and make predictions using their preferred ML frameworks within PostgreSQL, ensuring a smooth and integrated experience for data-driven decision-making.
PostgresML is a machine learning operations platform that integrates with PostgreSQL, allowing users to build and deploy models directly within the database.
You can use PostgresML by training your model with the pgml.train() function, deploying it with pgml.deploy(), and making predictions through pgml.predict().
Core features include in-database MLops capabilities, compatibility with various ML libraries, high performance, and easy scalability.
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