mlserver-mlflow
Readme
This package provides a MLServer runtime compatible with MLflow models.
You can install the runtime, alongside mlserver, as:
pip install mlserver mlserver-mlflow
The MLflow inference runtime introduces a new dict content type, which
decodes an incoming V2 request as a dictionary of
tensors.
This is useful for certain MLflow-serialised models, which will expect that the
model inputs are serialised in this format.
The `dict` content type can be _stacked_ with other content types, like
[`np`](../../docs/user-guide/content-type).
This allows the user to use a different set of content types to decode each of
the dict entries.
FAQs
MLflow runtime for MLServer
We found that mlserver-mlflow demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
NIST's new AI Risk Management Framework aims to enhance the security and reliability of generative AI systems and address the unique challenges of malicious AI exploits.
Security News
This episode of the Risky Biz podcast discusses how the rise of small open source packages and the shift towards individual maintainers makes the ecosystem more vulnerable to supply chain attacks.
Product
Streamline your login process and enhance security by enabling Single Sign-On (SSO) on the Socket platform, now available for all customers on the Enterprise plan, supporting 20+ identity providers.