Add context menu and batch operation info (#16)

This commit is contained in:
pollfly
2021-07-15 16:51:15 +03:00
committed by GitHub
parent c0b01c760b
commit c82efea77f
6 changed files with 53 additions and 7 deletions

View File

@@ -51,10 +51,10 @@ If a project has sub-projects, the models can be viewed by their sub-project gro
all the models in the project. The customizations of these two views are saved separately.
:::
## ClearML Actions from the models table
## Model actions
The following table describes the **ClearML** features that can be used from the models table, including the states that
allow each feature. Model states are *Draft* (editable) and *Published* (read-only).
The following table describes the actions that can be done from the models table, including the states that
allow each feature. Model states are *Draft* (editable) and *Published* (read-only).
| ClearML Action | Description | States Valid for the Action |
|---|---|--|
@@ -65,6 +65,16 @@ allow each feature. Model states are *Draft* (editable) and *Published* (read-on
| Download | Download a model. The file format depends upon the framework. | *Published* |
| Move to project | To organize work and improve collaboration, move a model to another project. | Any state |
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" />
in a model's info panel).
Some of the actions mentioned in the chart above can be performed on multiple models at once.
Select multiple models, then use either the context menu, or the bar that appears at the bottom of the page, to perform
operations on the selected models. The context menu shows the number of models that can be affected by each action.
The same information can be found in the bottom menu, in a tooltip that appears when hovering over an action icon.
![Models table batch operations](../img/webapp_models_table_batch_operations.png)
## Tagging models
Tags are user-defined, color-coded labels that can be added to models (and experiments), allowing to easily identify and