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@ -31,7 +31,8 @@ You can view all the task details in the [WebApp](../webapp/webapp_overview.md).
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See an example of CatBoost and ClearML in action [here](../guides/frameworks/catboost/catboost.md).
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See an example of CatBoost and ClearML in action [here](../guides/frameworks/catboost/catboost.md).
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## Automatic Logging Control
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## Automatic Logging Control
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By default, when ClearML is integrated into your CatBoost script, it captures models, and
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By default, when ClearML is integrated into your CatBoost script, it captures models, and
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@ -30,7 +30,8 @@ You can view all the task details in the [WebApp](../webapp/webapp_overview.md).
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See an example of `fastai` and ClearML in action [here](../guides/frameworks/fastai/fastai_with_tensorboard.md).
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See an example of `fastai` and ClearML in action [here](../guides/frameworks/fastai/fastai_with_tensorboard.md).
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## Automatic Logging Control
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## Automatic Logging Control
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By default, when ClearML is integrated into your `fastai` script, it captures models and
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By default, when ClearML is integrated into your `fastai` script, it captures models and
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ClearML logs the scalars from training each network. They appear in the task's **SCALARS** tab in the Web UI.
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ClearML logs the scalars from training each network. They appear in the task's **SCALARS** tab in the Web UI.
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ClearML automatically logs the parameters of each task run in the hyperparameter search. They appear in tabular
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ClearML automatically logs the parameters of each task run in the hyperparameter search. They appear in tabular
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form in the task's **PLOTS**.
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form in the task's **PLOTS**.
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ClearML automatically stores the output model. It appears in the task's **ARTIFACTS** **>** **Output Model**.
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ClearML automatically stores the output model. It appears in the task's **ARTIFACTS** **>** **Output Model**.
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## Example
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## Example
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@ -28,7 +28,8 @@ And that's it! This creates a [ClearML Task](../fundamentals/task.md) which capt
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You can view all the task details in the [WebApp](../webapp/webapp_overview.md).
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You can view all the task details in the [WebApp](../webapp/webapp_overview.md).
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## Automatic Logging Control
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## Automatic Logging Control
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By default, when ClearML is integrated into your PyTorch script, it captures PyTorch models. But, you may want to have
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By default, when ClearML is integrated into your PyTorch script, it captures PyTorch models. But, you may want to have
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View the TensorBoard outputs in the [WebApp](../webapp/webapp_overview.md), in the task's page.
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View the TensorBoard outputs in the [WebApp](../webapp/webapp_overview.md), in the task's page.
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## Automatic Logging Control
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## Automatic Logging Control
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By default, when ClearML is integrated into your script, it captures all of your TensorBoard plots, images, and metrics.
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By default, when ClearML is integrated into your script, it captures all of your TensorBoard plots, images, and metrics.
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View the TensorboardX outputs in the [WebApp](../webapp/webapp_overview.md), in the task's page.
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View the TensorboardX outputs in the [WebApp](../webapp/webapp_overview.md), in the task's page.
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## Automatic Logging Control
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## Automatic Logging Control
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By default, when ClearML is integrated into your script, it captures all of your TensorboardX plots, images, metrics, videos, and text.
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By default, when ClearML is integrated into your script, it captures all of your TensorboardX plots, images, metrics, videos, and text.
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@ -51,7 +51,8 @@ except ImportError:
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You can view all the task details in the [WebApp](../webapp/webapp_overview.md).
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You can view all the task details in the [WebApp](../webapp/webapp_overview.md).
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## Automatic Logging Control
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## Automatic Logging Control
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By default, when ClearML is integrated into your XGBoost script, it captures models, and
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By default, when ClearML is integrated into your XGBoost script, it captures models, and
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