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Add context menu and batch operation info (#16)
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@ -43,6 +43,29 @@ all the Dataviews in the project. The customizations of these two views are save
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## Dataview actions
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The following table describes the actions that can be performed from the Dataviews table.
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| ClearML Action | Description |
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|---|---|--|
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| View details | Dataview details, including input datasets, label mapping, augmentation operations, and iteration control. Click a Dataview and the info panel slides open. |
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| Archive | To more easily work with active Dataviews, move a Dataview to the archive. See [Archiving Dataviews](#archiving-dataviews). |
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| Clone | Make an exact copy of a Dataview. |
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| Move to project | To organize work and improve collaboration, move a Dataview to another project. |
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These actions can be accessed with the context menu (when right-clicking a Dataview or clicking the menu button <img src="/docs/latest/icons/ico-bars-menu.svg" alt="Menu" className="icon size-md space-sm" />
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in a Dataview's info panel).
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Some of the actions mentioned in the chart above can be performed on multiple Dataviews at once.
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Select multiple Dataviews, then use either the context menu, or the bar that appears at the bottom of the page, to perform
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operations on the selected Dataviews. The context menu shows the number of Dataviews that can be affected by each action.
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The same information can be found in the bottom menu, in a tooltip that appears when hovering over an action icon.
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![Dataviews table batch operations](../../img/webapp_dataview_table_batch_operations.png)
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## Viewing, adding, and editing Dataviews
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**To view, add, or edit a Dataview:**
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@ -116,12 +116,12 @@ Once a filter is applied to a column, its filter icon will appear with a highlig
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* Column resizing - In the column heading, drag to a new size.
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* Column autofit - In the column heading, double click a column separator.
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## ClearML actions from the experiments table
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## Experiment actions
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The following table describes the **ClearML** features that can be used from the experiments table, including the [states](../fundamentals/task.md#task-states-and-state-transitions)
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that allow each feature.
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The following table describes the actions that can be done from the experiments table, including the [states](../fundamentals/task.md#task-states-and-state-transitions)
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that allow each operation.
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| ClearML Action | Description | States Valid for the Action | State Transition |
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| Action | Description | States Valid for the Action | State Transition |
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|---|---|---|---|
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| View details | View experiment details in the experiments table, the [info panel](webapp_exp_track_visual#info-panel) (keep the experiments table in view), or the [full screen details view](webapp_exp_track_visual#full-screen-details-view). | Any state | None |
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| Manage a queue | If an experiment is *Pending* in a queue, view the utilization of that queue, manage that queue (remove experiments and change the order of experiments), and view information about the worker(s) listening to the queue. See the [Workers and queues](webapp_workers_queues) page. | *Enqueued* | None |
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@ -137,6 +137,19 @@ that allow each feature.
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| Clone | Make an exact, editable copy of an experiment (for example, to reproduce an experiment, but keep the original). | *Draft* | Newly Cloned Experiment is *Draft* |
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| Move | Move an experiment to another project. | Any state | None |
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These actions can be accessed with the context menu (when right-clicking an experiment or clicking the menu button <img src="/docs/latest/icons/ico-bars-menu.svg" alt="Menu" className="icon size-md space-sm" />
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in an experiment's info panel).
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Most of the actions mentioned in the chart above can be performed on multiple experiments at once.
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Select multiple experiments, then use either the context menu, or the bar that appears at the bottom of the page, to perform
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operations on the selected experiments. Actions can be performed only on the experiments that match the action criteria
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(for example, only *Running* experiments can be aborted). The context menu shows the number
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of experiments that can be affected by each action. The same information can be found in the bottom menu, in a tooltip that
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appears when hovering over an action icon.
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![Experiment table batch operations](../img/webapp_exp_table_batch_operations.png)
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## Creating an experiment leaderboard
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@ -51,10 +51,10 @@ If a project has sub-projects, the models can be viewed by their sub-project gro
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all the models in the project. The customizations of these two views are saved separately.
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:::
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## ClearML Actions from the models table
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## Model actions
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The following table describes the **ClearML** features that can be used from the models table, including the states that
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allow each feature. Model states are *Draft* (editable) and *Published* (read-only).
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The following table describes the actions that can be done from the models table, including the states that
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allow each feature. Model states are *Draft* (editable) and *Published* (read-only).
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| ClearML Action | Description | States Valid for the Action |
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|---|---|--|
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@ -65,6 +65,16 @@ allow each feature. Model states are *Draft* (editable) and *Published* (read-on
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| Download | Download a model. The file format depends upon the framework. | *Published* |
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| Move to project | To organize work and improve collaboration, move a model to another project. | Any state |
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These actions can be accessed with the context menu (when right-clicking a model or clicking the menu button <img src="/docs/latest/icons/ico-bars-menu.svg" alt="Menu" className="icon size-md space-sm" />
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in a model's info panel).
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Some of the actions mentioned in the chart above can be performed on multiple models at once.
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Select multiple models, then use either the context menu, or the bar that appears at the bottom of the page, to perform
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operations on the selected models. The context menu shows the number of models that can be affected by each action.
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The same information can be found in the bottom menu, in a tooltip that appears when hovering over an action icon.
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![Models table batch operations](../img/webapp_models_table_batch_operations.png)
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## Tagging models
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Tags are user-defined, color-coded labels that can be added to models (and experiments), allowing to easily identify and
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