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Small edits (#256)
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@@ -145,7 +145,7 @@ The **TF_DEFINE** parameter group shows automatic TensorFlow logging.
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Once an experiment is run and stored in **ClearML Server**, any of these hyperparameters can be [modified](webapp_exp_tuning.md#modifying-experiments).
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Once an experiment is run and stored in ClearML Server, any of these hyperparameters can be [modified](webapp_exp_tuning.md#modifying-experiments).
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### User Properties
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@@ -167,7 +167,7 @@ parameter in [`Task.connect_configuration`](../references/sdk/task.md#connect_co
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:::important
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In older versions of **ClearML Server**, the Task model configuration appeared in the **ARTIFACTS** tab, **MODEL CONFIGURATION** section. Task model configurations now appear in the **Configuration Objects** section, in the **CONFIGURATION** tab.
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In older versions of ClearML Server, the Task model configuration appeared in the **ARTIFACTS** tab, **MODEL CONFIGURATION** section. Task model configurations now appear in the **Configuration Objects** section, in the **CONFIGURATION** tab.
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:::
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@@ -118,7 +118,7 @@ Set a logging level for the experiment (see the standard Python [logging levels]
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#### Hyperparameters
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:::important
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In older versions of **ClearML Server**, the **CONFIGURATION** tab was named **HYPER PARAMETERS**, and it contained all
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In older versions of ClearML Server, the **CONFIGURATION** tab was named **HYPER PARAMETERS**, and it contained all
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parameters. The renamed tab contains a **HYPER PARAMETER** section, and subsections for hyperparameter groups.
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:::
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@@ -158,7 +158,7 @@ except experiments whose status is *Published* (read-only).
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#### Configuration Objects
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:::important
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In older versions of **ClearML Server**, the Task model configuration appeared in the **ARTIFACTS** tab **>** **MODEL
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In older versions of ClearML Server, the Task model configuration appeared in the **ARTIFACTS** tab **>** **MODEL
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CONFIGURATION** section. Task model configurations now appear in **CONFIGURATION** **>** **Configuration Objects**.
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:::
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