Log Model
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, ...)
model |
The model that will perform a prediction. |
artifact_path |
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. |
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