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Change terminology (#1028)

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pollfly
2025-02-06 17:31:11 +02:00
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docs/integrations/matplotlib.md
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@@ -26,13 +26,13 @@ This will create a ClearML Task that captures:
* And more
View captured Matplotlib plots and images in the [WebApp](../webapp/webapp_exp_track_visual.md),
in the experiment's **Plots** and **Debug Samples** tabs respectively.
in the task's **Plots** and **Debug Samples** tabs respectively.
![Experiment plots](../img/examples_matplotlib_example_01.png)
![Task plots](../img/examples_matplotlib_example_01.png)
## Automatic Logging Control
By default, when ClearML is integrated into your script, it captures all of your matplotlib visualizations.
But, you may want to have more control over what your experiment logs.
But, you may want to have more control over what your task logs.
To control a task's framework logging, use the `auto_connect_frameworks` parameter of [`Task.init()`](../references/sdk/task.md#taskinit).
Completely disable all automatic logging by setting the parameter to `False`. For finer grained control of logged
@@ -65,14 +65,14 @@ logger.report_matplotlib_figure(title="My Plot Title", series="My Plot Series",
plt.show()
```
The logged figure is displayed in the experiment's **Plots** tab.
The logged figure is displayed in the task's **Plots** tab.
![Experiment Matplotlib plots](../img/manual_matplotlib_reporting_01.png)
![Task Matplotlib plots](../img/manual_matplotlib_reporting_01.png)
Matplotlib figures can be logged as images by passing `report_image=True` to `Logger.report_matplotlib_figure()`.
View the images in the experiment's **DEBUG SAMPLES** tab.
View the images in the task's **DEBUG SAMPLES** tab.
![Experiment debug sample](../img/manual_matplotlib_reporting_03.png)
![Task debug sample](../img/manual_matplotlib_reporting_03.png)
See [Manual Matplotlib Reporting](../guides/reporting/manual_matplotlib_reporting.md) example.