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Scalars Reporting

The scalar_reporting.py script demonstrates explicit scalar reporting. ClearML reports scalars in the ClearML Web UI > experiment details > SCALARS tab.

When the script runs, it creates an experiment named scalar reporting, which is associated with the examples project.

To reports scalars, call the Logger.report_scalar method. To report more than one series on the same plot, use the same title argument. For different plots, use different title arguments.

# report two scalar series on the same graph
for i in range(100):
Logger.current_logger().report_scalar(
"unified graph", "series A", iteration=i, value=1./(i+1)
)
Logger.current_logger().report_scalar(
"unified graph", "series B", iteration=i, value=10./(i+1)
)

# report two scalar series on two different graphs
for i in range(100):
Logger.current_logger().report_scalar(
"graph A", "series A", iteration=i, value=1./(i+1)
)
Logger.current_logger().report_scalar(
"graph B", "series B", iteration=i, value=10./(i+1)
)

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