log_model: Log Model
In mrkaye97/lightMLFlow: A lightweight R wrapper for the MLFlow REST API

Logs a model for this run. Similar to save_model() but stores model as an artifact within the active run.

1	log_model(model, path, ...)

`model`	The model that will perform a prediction.
`path`	Destination path where this MLflow compatible model will be saved.
`...`	Optional additional arguments passed to `save_model()` when persisting the model. For example, `conda_env = /path/to/conda.yaml` may be passed to specify a conda dependencies file for flavors (e.g. keras) that support conda environments.