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10
docs/faq.md
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@ -213,7 +213,7 @@ and [OutputModel](references/sdk/model_outputmodel.md) classes.
<br/>
**Models are not accessible the UI after I migrated ClearML Server to a new domain. How do I fix this?** <a id="migrate_server_models"></a>
**Models are not accessible from the UI after I migrated ClearML Server to a new domain. How do I fix this?** <a id="migrate_server_models"></a>
This can happen if your models were uploaded to the ClearML files server, since the value registered was their full URL
at the time of registration (e.g. `https://files.<OLD_DOMAIN>/path/to/model`).
@ -392,7 +392,7 @@ Conda and the [typing](https://pypi.org/project/typing/) package may have some c
However, [since Python 3.5](https://docs.python.org/3.5/library/typing.html), the `typing` package is part of the standard library.
To resolve the error, uninstall `typing` and rerun you script. If this does not fix the issue, create a [new ClearML issue](https://github.com/allegroai/clearml/issues/new), including the full error, and your environment details.
To resolve the error, uninstall `typing` and rerun your script. If this does not fix the issue, create a [new ClearML issue](https://github.com/allegroai/clearml/issues/new), including the full error, and your environment details.
<a id="delete_exp"></a>
@ -713,7 +713,7 @@ Yes! You can run ClearML in Jupyter Notebooks using either of the following:
**Option 2: Install ClearML in your Jupyter Notebook**
1. In the ClearML Web UI > **Settings > Workspace** page, create credentials and copy your access key and secret key. These are required in the Step 3.
1. In the ClearML Web UI > **Settings > Workspace** page, create credentials and copy your access key and secret key. These are required for Step 3.
1. Install the ClearML Python Package.
@ -733,7 +733,7 @@ Yes! You can run ClearML in Jupyter Notebooks using either of the following:
1. You can now use ClearML.
```python
# create a task and start training
task = Task.init('juptyer project', 'my notebook')
task = Task.init('jupyter project', 'my notebook')
```
@ -884,7 +884,7 @@ on the "Configuring Your Own ClearML Server" page in the "Deploying ClearML" sec
<br/>
**Can I modify a non-responsive task settings?** <a id="watchdog"></a>
**Can I modify non-responsive task settings?** <a id="watchdog"></a>
The non-responsive experiment watchdog monitors experiments that were not updated for a specified time interval, and
marks them as `aborted`. The watchdog is always active.

4
docs/webapp/applications/apps_dashboard.md
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@ -11,6 +11,8 @@ chosen metric over the project's iterations, as well as project GPU and worker u
on failed Tasks via Slack integration.
## Project Dashboard Instance Configuration
* **Import Configuration** - Import an app instance configuration file. This will fill the configuration wizard with the
values from the file, which can be modified before launching the app instance
* **Monitored Project** - Name of the ClearML project to monitor
* **Monitored Metric**
* Monitored Metric - Title - Metric title to track
@ -21,6 +23,8 @@ on failed Tasks via Slack integration.
* API Token - Slack workspace access token
* Channel Name - Slack channel to which task failure alerts will be posted
* Fail Iteration Threshold - Minimum number of iterations to trigger Slack alerts about task failure (failed tasks that do not meet the threshold will be ignored)
* **Export Configuration** - Export the app instance configuration as a JSON file, which you can later import to create
a new instance with the same configuration.
![Dashboard app wizard](../../img/apps_dashboard_wizard.png)

2
docs/webapp/datasets/webapp_dataset_viewing.md
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@ -98,7 +98,7 @@ to view:
<br/>
Click <img src="/docs/latest/icons/ico-max-panel.svg" alt="Expand" className="icon size-md space-sm" /> to on the content panel header to view the panel in full screen.
Click <img src="/docs/latest/icons/ico-max-panel.svg" alt="Expand" className="icon size-md space-sm" /> on the content panel header to view the panel in full screen.
## Dataset Actions
The following table describes the actions that can be done from the dataset versions list.