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25 lines
1.3 KiB
Markdown
25 lines
1.3 KiB
Markdown
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---
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title: Scalars Reporting
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---
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The [scalar_reporting.py](https://github.com/allegroai/clearml/blob/master/examples/reporting/scalar_reporting.py) script
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demonstrates explicit scalar reporting. **ClearML** reports scalars in the **ClearML Web UI** **>** experiment details **>**
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**RESULTS** tab **>** **SCALARS** sub-tab.
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When the script runs, it creates an experiment named `scalar reporting`, which is associated with the `examples` project.
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To reports scalars, call the [Logger.report_scalar](../../references/sdk/logger.md#report_scalar)
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method. To report more than one series on the same plot, use the same `title` argument. For different plots, use different
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`title` arguments.
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# report two scalar series on the same graph
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for i in range(100):
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Logger.current_logger().report_scalar("unified graph", "series A", iteration=i, value=1./(i+1))
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Logger.current_logger().report_scalar("unified graph", "series B", iteration=i, value=10./(i+1))
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# report two scalar series on two different graphs
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for i in range(100):
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Logger.current_logger().report_scalar("graph A", "series A", iteration=i, value=1./(i+1))
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Logger.current_logger().report_scalar("graph B", "series B", iteration=i, value=10./(i+1))
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