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Experiment execution

What is an experiment?

An experiment is a script run on one or more datasets. It produces result files, or an error if something goes wrong. To run an experiment, open an existing project (Projects) or create a new project and choose Run Experiment.

Create and run an experiment

Select a script and one or more datasets from the lists.

You can choose scripts or datasets that:

  • You own, or
  • You have been granted access to, or
  • Other project collaborators have already added to the project.

A teal icon means the script or dataset is already in the project. A rose icon means you can access it, but it is not in the project yet. Selecting a rose item adds it to the project automatically.

Create experiment

After you select the script and dataset(s), review the estimated cost in credits. You can use your credits or, if your organization allows it, your organization’s credits. Then choose Run.

If the script uses more than one dataset, put them in the order your script expects. That order is what RAISE_DATASET_ID_LIST uses. See Dynamic dataset accessing.

Run experiment

Statuses

While the experiment runs you can watch its status, or open error details if it fails.

StatusMeaning
Awaiting ExecutionWaiting on the node
Transferring DatasetsDatasets are being copied to the node if needed
Dataset Transfer FailedThat copy failed
Script Analysis Pending / Running / ErrorChecking the script before it runs
RunningThe experiment is running
Script ErrorThe script stopped with an error
Execution ErrorThe run failed before or around the script
Registration In Progress / ErrorSaving the RAI
RegisteredFinished; the RAI PID is available

If everything succeeds, the experiment is registered and gets a RAI. That RAI points to the datasets and script that were used. A SHA-256 hash of the results is stored with the RAI. The experiment details page shows the PID and the results.

Experiment details

The experiment owner can allow other registered users to download the results.

If a dataset requires result approval, the dataset owner must approve the results before others can access them. See Experiment result approvals.

Experiment success email