mlflow_load_model: Load MLflow Model

In mlflow: Interface to 'MLflow'

Load MLflow Model

Description

Loads an MLflow model. MLflow models can have multiple model flavors. Not all flavors / models can be loaded in R. This method by default searches for a flavor supported by R/MLflow.

Usage

mlflow_load_model(model_uri, flavor = NULL, client = mlflow_client())

Arguments

model_uri	The location, in URI format, of the MLflow model.
flavor	Optional flavor specification (string). Can be used to load a particular flavor in case there are multiple flavors available.
client	(Optional) An MLflow client object returned from mlflow_client. If specified, MLflow will use the tracking server associated with the passed-in client. If unspecified (the common case), MLflow will use the tracking server associated with the current tracking URI.

Details

The URI scheme must be supported by MLflow - i.e. there has to be an MLflow artifact repository corresponding to the scheme of the URI. The content is expected to point to a directory containing MLmodel. The following are examples of valid model uris:

- “file:///absolute/path/to/local/model“ - “file:relative/path/to/local/model“ - “s3://my_bucket/path/to/model“ - “runs:/<mlflow_run_id>/run-relative/path/to/model“ - “models:/<model_name>/<model_version>“ - “models:/<model_name>/<stage>“

For more information about supported URI schemes, see the Artifacts Documentation at https://www.mlflow.org/docs/latest/tracking.html#artifact-stores.

mlflow documentation built on Nov. 23, 2023, 9:13 a.m.