mirror of
https://github.com/clearml/clearml-docs
synced 2025-01-31 14:37:18 +00:00
35 lines
1.3 KiB
Markdown
35 lines
1.3 KiB
Markdown
---
|
|
title: Scalars Reporting
|
|
---
|
|
|
|
The [scalar_reporting.py](https://github.com/allegroai/clearml/blob/master/examples/reporting/scalar_reporting.py) script
|
|
demonstrates explicit scalar reporting. **ClearML** reports scalars in the **ClearML Web UI** **>** experiment details **>**
|
|
**RESULTS** tab **>** **SCALARS** sub-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](../../references/sdk/logger.md#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.
|
|
|
|
```python
|
|
# 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)
|
|
)
|
|
```
|
|
|
|
 |