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Machine learning lib.

Project description

modelkit

Python framework for production ML systems.


modelkit is a Python framework to maintain and run machine learning (ML) code in production environments.

The key features are:

  • type-safe Models' inputs and outputs can be validated by pydantic
  • composable Models are composable: they can depend on other models.
  • organized Store and share your models as regular Python packages.
  • extensible Models can rely on arbitrary supporting configurations files called assets hosted on local or cloud object stores
  • testable Models carry their own unit test cases, and unit testing fixtures are available for pytest
  • fast to code Models can be served in a single CLI call using fastapi
  • fast Models' predictions can be batched for speed
  • async Models support async and synchronous prediction functions

Installation

Install with pip:

pip install modelkit

Documentation

Refer to the documentation for more information.

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