HomeInstall
macOSWindowsLinuxVisual Studio Code Pre-release VersionShell CompletionIDE Plugins
Get Started
Data Pipelines
Data PipelinesMetrics, Parameters, and Plots
Experiment Management
Experiment TrackingExperimenting Using Pipelines
Example Scenarios
Versioning Data and Models
Tutorial 👩‍💻
CI/CD for Machine LearningFast and Secure Data Caching HubExperiment TrackingData Registry
Tutorial 👩‍💻
User Guide
Project Structure
dvc.yaml Files.dvc Files.dvcignore FilesConfigurationInternal Files
Data Management
Remote Storage
Amazon S3Azure Blob StorageGoogle Cloud StorageGoogle DriveAliyun OSSSSH & SFTPHDFS & WebHDFSHTTPWebDAV
Cloud VersioningDiscovering and Accessing DataExternal DataLarge Dataset OptimizationModifying Large Datasets
Pipelines
Defining PipelinesRunning PipelinesRun CacheExternal Dependencies and Outputs
Experiment Management
Running ExperimentsHydra CompositionComparing ExperimentsVisualizing PlotsSharing Experiments
How to
Run DVC on WindowsStop Tracking DataUpdate Tracked DataAdd Deps or Outs to a StageResolve Merge ConflictsShare a DVC Cache
Integrations
Ml FrameworksAmazon SageMakerDatabricksEvidentlyHugging Face
Environment VariablesTroubleshootingAnonymized Usage AnalyticsGlossaryUpgrading to DVC 3.0
Command Reference
addartifacts
artifacts get
cache
cache dircache migrate
check-ignorecheckoutcommitconfigdagdata statusdestroydiffdoctorexp
exp applyexp branchexp cleanexp diffexp listexp pullexp pushexp removeexp renameexp runexp saveexp show
fetchfreezegcget-urlgetimport-dbimport-urlimportinitinstalllist-urllistmetrics
metrics showmetrics diff
moveparams
params diff
plots
plots showplots diffplots templates
pullpushqueue
queue startqueue stopqueue statusqueue logsqueue removequeue kill
remote
remote addremote modifyremote defaultremote listremote removeremote rename
removereprorootstage
stage addstage list
statusstudio
studio loginstudio logoutstudio token
unfreezeunprotectupdateversion
Python API Reference
DVCFileSystemartifacts_show()exp_show()get_url()metrics_show()open()params_show()read()scm
Contributing
DVC Core ProjectDocs and Website
Changelog VS Code Extension DVCLive
InstallHow it WorksAPI Reference
end()log_artifact()log_image()log_metric()log_param()log_params()log_plot()log_sklearn_plot()make_dvcyaml()make_report()make_summary()monitor_system()next_step()
Ml Frameworks
Fast.aiHugging Face AccelerateHugging Face TransformersKerasLightGBMMMCVOptunaPyTorchPyTorch LightningPyTorch Lightning FabricScikit-learnTensorFlowXGBoostUltralytics YOLO v8
Environment Variables
Edit on GitHub

queue

A set of commands to manage the DVC experiments task queue: start, stop, status, logs, remove, kill

Synopsis

Description

You can use dvc exp run --queue to queue ML experiments. dvc queue provides an interface to process and manage these queued tasks.

See this guide for more information on experiment queues.

Options

  • -h, --help - prints the usage/help message, and exit.

  • -q, --quiet - do not write anything to standard output.

  • -v, --verbose - displays detailed tracing information.

pushqueue start

🐛 Found an issue? Let us know! Or fix it:

Edit on GitHub

❓ Have a question? Join our chat, we will help you:

Discord Chat

🤝 Data on petabyte scale? Checkout our sister project:

lakeFS Docs