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docs/community.md
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@ -8,7 +8,7 @@ For feature requests or bug reports, see **ClearML** [GitHub issues](https://git
If you have any questions, post on the **ClearML** [Slack channel](https://joinslack.clear.ml).
Or, tag your questions on [stackoverflow](https://stackoverflow.com/questions/tagged/clearml) with the **clearml** tag.
Or, tag your questions on [Stack Overflow](https://stackoverflow.com/questions/tagged/clearml) with the **clearml** tag.
You can always find us at [support@clear.ml](mailto:support@clear.ml?subject=ClearML).

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docs/deploying_clearml/clearml_server_security.md
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@ -33,7 +33,7 @@ has been configured. It is recommended to use an [object storage solution](../in
## Server Credentials and Secrets
By default, ClearML Server comes with default values that are designed to allow to set it up quickly and to start working
By default, ClearML Server comes with default values designed to allow you to quickly set it up and to start working
with the ClearML SDK.
However, this also means that the **server must be secured** by either preventing any external access, or by changing

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docs/guides/reporting/clearml_logging_example.md
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@ -17,7 +17,7 @@ In the ``clearml`` GitHub repository, this example includes a clickable icon to
## Scalars
To reports scalars, call [`Logger.report_scalar()`](../../references/sdk/logger.md#report_scalar).
To report scalars, call [`Logger.report_scalar()`](../../references/sdk/logger.md#report_scalar).
The scalar plots appear in the **web UI** in **SCALARS**.
```python

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docs/hyperdatasets/webapp/webapp_datasets_versioning.md
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@ -248,7 +248,7 @@ Filter by date/time metadata fields using Lucene queries.
* Open a frame in the frame viewer to see its metadata.
![Frame datetimee metadata in frame viewer](../../img/hyperdatasets/frame_filtering_14.png#light-mode-only)
![Frame datetime metadata in frame viewer](../../img/hyperdatasets/frame_filtering_14.png#light-mode-only)
![Frame datetime metadata in frame viewer](../../img/hyperdatasets/frame_filtering_14_dark.png#dark-mode-only)
</Collapsible>

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docs/model_registry.md
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@ -101,7 +101,7 @@ input_model_2 = InputModel.import_model(
)
```
After instantiating an InputModel instance, you can connect it to a task object, so the model can be traced to n
After instantiating an InputModel instance, you can connect it to a task object, so the model can be traced to a
task.
```python

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docs/overview.md
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@ -77,6 +77,6 @@ For detailed instructions on each step, refer to the respective sections in this
## Support
For feature requests or bug reports, see ClearML on [GitHub](https://github.com/clearml/clearml/issues).
If you have any questions, join the discussion on the **ClearML** [Slack channel](https://joinslack.clear.ml), or tag your questions on [stackoverflow](https://stackoverflow.com/questions/tagged/clearml) with the **clearml** tag.
If you have any questions, join the discussion on the **ClearML** [Slack channel](https://joinslack.clear.ml), or tag your questions on [Stack Overflow](https://stackoverflow.com/questions/tagged/clearml) with the **clearml** tag.
Lastly, you can always find us at [support@clearml.ai](mailto:support@clearml.ai?subject=ClearML).

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docs/release_notes/clearml_server/enterprise/ver_3_23.md
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@ -82,5 +82,5 @@ user access to these objects or their containing project.
* Fix pipeline run version not set when re-executed via the UI
* Fix UI DataView successfully created with identical IDs in label enumeration
* Fix UI DataView created successfully when "Limit Frames" repetition option is selected, but the maximum number of frames is not set
* Fix moving a enqueued experiment to a new UI queue results in error
* Fix moving an enqueued experiment to a new UI queue results in error
* Fix metric and hyperparameter group string not searchable in UI table