Logs a model for this run. Similar to `mlflow_save_model()` but stores model as an artifact within the active run.
mlflow_log_model(model, artifact_path, ...)The model that will perform a prediction.
Destination path where this MLflow compatible model will be saved.
Optional additional arguments passed to `mlflow_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.