wehub-resource-sync
30 lines
998 B
ReStructuredText
30 lines
998 B
ReStructuredText
mlflow REST API Example
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-----------------------
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This simple example shows how you could use MLflow REST API to create new
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runs inside an experiment to log parameters/metrics.
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To run this example code do the following:
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Open a terminal and navigate to the ``/tmp`` directory and start the mlflow tracking server::
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mlflow server
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In another terminal window navigate to the ``mlflow/examples/rest_api`` directory. Run the example code
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with this command::
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python mlflow_tracking_rest_api.py
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Program options::
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usage: mlflow_tracking_rest_api.py [-h] [--hostname HOSTNAME] [--port PORT]
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[--experiment-id EXPERIMENT_ID]
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MLflow REST API Example
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optional arguments:
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-h, --help show this help message and exit
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--hostname HOSTNAME MLflow server hostname/ip (default: localhost)
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--port PORT MLflow server port number (default: 5000)
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--experiment-id EXPERIMENT_ID
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Experiment ID (default: 0)
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