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-1.1.0.dev6.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | a1fd84035489eb46cbbdf11434a6e243d6c6b84a46d71e536d47f46685b4a8c2 |
|
MD5 | 4997b1cca1e4a2f668b87d6b3241cd48 |
|
BLAKE2b-256 | 1cca83a7556cfad24f95ead19114b1c4b6deed86fdebae84d50d760ddcbd2432 |
Close
Hashes for mlserver_mlflow-1.1.0.dev6-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 27d2b6828c36192af654e6e951a5eb4dd173d013528f13a63d48f55c298ef5d9 |
|
MD5 | 85ef625fd28fda5a2fbb5818deae8e73 |
|
BLAKE2b-256 | 9771f98a11e38cb220ac95c5fc418f53fa966acb1345bfff409c8d7da1a908ee |