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)