mlflow REST API Example

mlflow REST API Example

This simple example shows how you could use MLflow REST API to create new runs inside an experiment to log parameters/metrics.

To run this example code do the following:

Open a terminal and navigate to the /tmp directory and start the mlflow tracking server::

mlflow server

In another terminal window navigate to the mlflow/examples/rest_api directory. Run the example code with this command::

python mlflow_tracking_rest_api.py

Program options::

usage: mlflow_tracking_rest_api.py [-h] [--hostname HOSTNAME] [--port PORT] [--experiment-id EXPERIMENT_ID]

MLflow REST API Example

optional arguments: -h, --help show this help message and exit --hostname HOSTNAME MLflow server hostname/ip (default: localhost) --port PORT MLflow server port number (default: 5000) --experiment-id EXPERIMENT_ID Experiment ID (default: 0)