MLflow runtime for MLServer
Project description
MLflow runtime for MLServer
This package provides a MLServer runtime compatible with MLflow models.
Usage
You can install the runtime, alongside mlserver
, as:
pip install mlserver mlserver-mlflow
Content Types
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for mlserver-mlflow-1.2.0.dev14.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4ccfe99dc58b769fab6e51db80d27be96f95bca312f0604d51b459ac0463ebcd |
|
MD5 | 2ebbaa90aab3726df5c88d3b7a9df55d |
|
BLAKE2b-256 | bad0deb438f67aa624f4b1fa47f06e4515adfa0c8c19ba266412d5f382b243a2 |
Close
Hashes for mlserver_mlflow-1.2.0.dev14-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | ec71cfff4684a917154325f42e553d3f1ae80faa25137545e7c2c99fc20416ec |
|
MD5 | 8fae39277940ac3e804614693ffa263c |
|
BLAKE2b-256 | b6c086cebbd35ab76dd09f41af881e28c27d0c81dfb9b35f3f317e666ef55f7b |