mlflow_create_registered_model

Creates a new registered model in the model registry

R interface to 'MLflow', open source platform for
the complete machine learning life cycle, see <https://mlflow.org/>.
This package supports installing 'MLflow', tracking experiments,
creating and running projects, and saving and serving models.

Ben Wilson

mlflow

Interface to 'MLflow'

Matei Zaharia

Javier Luraschi

Kevin Kuo

 RStudio

mlflow_create_registered_model function

<dl><dt>name</dt>
<dd>The name of the model to create.</dd>
<dt>tags</dt>
<dd>Additional metadata for the registered model (Optional).</dd>
<dt>description</dt>
<dd>Description for the registered model (Optional).</dd>
<dt>client</dt>
<dd>(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.</dd></dl>

Arguments

Create registered model — mlflow_create_registered_model

<dl>

<dt>name</dt>
<dd>The name of the model to create.</dd>


<dt>tags</dt>
<dd>Additional metadata for the registered model (Optional).</dd>


<dt>description</dt>
<dd>Description for the registered model (Optional).</dd>


<dt>client</dt>
<dd>(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.</dd>

</dl>

mlflow_create_registered_model: Create registered model

Description

Usage

Arguments