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Update docs (#744)
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@@ -6,11 +6,15 @@ The experiments table is a [customizable](#customizing-the-experiments-table) li
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table, view experiment details, and work with experiments (reset, clone, enqueue, create [tracking leaderboards](../guides/ui/building_leader_board.md)
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to monitor experimentation, and more). The experiments table's auto-refresh lets users continually monitor experiment progress.
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View the experiments table in table view <img src="/docs/latest/icons/ico-table-view.svg" alt="Table view" className="icon size-md space-sm" />
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or in details view <img src="/docs/latest/icons/ico-split-view.svg" alt="Details view" className="icon size-md space-sm" />,
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View the experiments in table view <img src="/docs/latest/icons/ico-table-view.svg" alt="Table view" className="icon size-md space-sm" />,
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details view <img src="/docs/latest/icons/ico-split-view.svg" alt="Details view" className="icon size-md space-sm" />, or
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comparison view <img src="/docs/latest/icons/ico-charts-view.svg" alt="Comparison view" className="icon size-md space-sm" />
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using the buttons on the top left of the page. Use the table view for a comparative view of your experiments according
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to columns of interest. Use the details view to access a selected experiment's details, while keeping the experiment list
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in view. Details view can also be accessed by double-clicking a specific experiment in the table view to open its details view.
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Use the [comparison view](#comparing-experiments) to compare your experiments' scalar and plot results (for a more in
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depth comparison, see [Comparing Experiments](webapp_exp_comparing.md)). When selected, this view presents a comparison
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of all selected experiments. If no experiments are selected, all currently visible experiments in the table are compared.
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You can archive experiments so the experiments table doesn't get too cluttered. Click **OPEN ARCHIVE** on the top of the
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table to open the archive and view all archived experiments. From the archive, you can restore
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@@ -188,6 +192,37 @@ selecting items beyond the items currently on-screen:
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* **None** - Clear selection
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* **Filtered** - Select **all experiments in the project** that match the current active filters in the project
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## Comparing Experiments
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The comparison view compares experiment scalar and plot results (for a more in depth comparison, see [Comparing Experiments](webapp_exp_comparing.md)).
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When selected, the view presents a comparison of all [selected experiments](#selecting-multiple-experiments). If no
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experiments are selected, all currently visible experiments in the table are displayed in the comparison.
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In the dropdown menu, select to view **Scalars** or **Plots**. **Scalars** shows experiments' scalar results as time
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series line graphs. **Plots** shows the last reported iteration sample of each metric/variant combination per compared
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experiment.
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Line, scatter, and bar graphs are compared by overlaying each metric/variant from all compared experiments' into a
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single comparative plot.
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Other plot types are displayed separately for each experiment.
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All single value scalars are plotted into a single clustered bar chart under the "Summary" title, where each cluster
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represents a reported metric, and each bar in the cluster represents an experiment.
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Click <img src="/docs/latest/icons/ico-settings.svg" alt="Setting Gear" className="icon size-md" /> to customize which
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metrics to view.
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In the **Scalars** view, click <img src="/docs/latest/icons/ico-tune.svg" alt="Tune" className="icon size-md" /> to access
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scalar plot tools (see [here](webapp_exp_track_visual.md#scalar-plot-tools)).
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## Creating an Experiment Leaderboard
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Filter and sort the experiments of any project to create a leaderboard that can be shared and stored. This leaderboard
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@@ -80,6 +80,12 @@ The Installed Packages section lists the experiment's installed Python packages
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When a ClearML agent executing an experiment ends up using a different set of python packages than was originally
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specified, both the original specification (`original pip` or `original conda`), and the packages the agent ended up
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using to set up an environment (`pip` or `conda`) are available. Select which requirements to view in the dropdown menu.
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### Container
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The Container section list the following information:
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* Image - a pre-configured Docker that ClearML Agent will use to remotely execute this experiment (see [Building Docker containers](../clearml_agent.md#exporting-a-task-into-a-standalone-docker-container))
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