Get started with Python

Step 0: Orient yourself to DominoStep 1: Create a projectStep 2: Configure your projectStep 3: Start a workspaceStep 4: Get your files and dataStep 5: Develop your modelStep 6: Clean up WorkspacesStep 7: Deploy your model

Get started with R

Step 0: Orient yourself to Domino (R Tutorial)Step 1: Create a projectStep 2: Configure your projectStep 3: Start a workspaceStep 4: Get your files and dataStep 5: Develop your modelStep 6: Clean up WorkspacesStep 7: Deploy your model

Get Started with MATLAB

Step 1: Orient yourself to DominoStep 2: Create a Domino ProjectStep 3: Configure Your Domino ProjectStep 4: Start a MATLAB WorkspaceStep 5: Fetch and Save Your DataStep 6: Develop Your ModelStep 7: Clean Up Your Workspace

Step 8: Deploy Your Model

Scheduled JobsLaunchers

Step 9: Working with Domino Datasets

Domino Reference

Projects

Projects Overview

Revert Projects and Files

Revert a ProjectRevert a File

Projects PortfolioReference ProjectsProject Goals in Domino 4+

Git Integration

Git Repositories in DominoGit-based ProjectsWorking from a Commit ID in Git

Jira Integration in DominoUpload Files to Domino using your BrowserCopy ProjectsFork and Merge ProjectsSearchSharing and CollaborationCommentsDomino File SystemCompare File RevisionsArchive a Project

Advanced Project Settings

Project DependenciesProject TagsRename a ProjectSet up your Project to Ignore FilesUpload files larger than 550MBExporting Files as a Python or R PackageTransfer Project Ownership

Domino Runs

JobsDiagnostic Statistics with dominostats.jsonNotificationsResultsRun Comparison

Advanced Options for Domino Runs

Run StatesDomino Environment VariablesEnvironment Variables for Secure Credential StorageUse Apache Airflow with Domino

Domino Workspaces

WorkspacesUse Git in Your WorkspaceUse Visual Studio Code in Domino WorkspacesPersist RStudio PreferencesAccess Multiple Hosted Applications in one Workspace Session

Spark on Domino

On-Demand Spark

On-Demand Spark OverviewValidated Spark VersionConfigure PrerequisitesWork with your ClusterManage DependenciesWork with Data

External Hadoop and Spark

Hadoop and Spark OverviewConnect to a Cloudera CDH5 cluster from DominoConnect to a Hortonworks cluster from DominoConnect to a MapR cluster from DominoConnect to an Amazon EMR cluster from DominoRun Local Spark on a Domino ExecutorUse PySpark in Jupyter WorkspacesKerberos Authentication

On-Demand Ray

On-Demand Ray OverviewValidated Ray VersionConfigure PrerequisitesWork with your ClusterManage DependenciesWork with Data

On-Demand Dask

On-Demand Dask OverviewValidated Dask VersionConfigure PrerequisitesWork with Your ClusterManage DependenciesWork with Data

Customize the Domino Software Environment

Environment ManagementDomino Standard EnvironmentsInstall Packages and DependenciesAdd Workspace IDEsAdding Jupyter Kernels

Partner Environments for Domino

Use MATLAB as a WorkspaceUse Stata as a WorkspaceUse SAS as a WorkspaceNVIDIA NGC Containers

Advanced Options for Domino Software Environment

Install Custom Packages in Domino with Git IntegrationAdd Custom DNS Servers to Your Domino EnvironmentConfigure a Compute Environment to User Private Cran/Conda/PyPi MirrorsUse TensorBoard in Jupyter Workspaces

Publish your Work

Publish a Model API

Model Publishing OverviewModel Invocation SettingsModel Access and CollaborationModel Deployment ConfigurationPromote Projects to ProductionExport Model Image

Publish a Web Application

App Publishing OverviewGet Started with DashGet Started with ShinyGet Started with FlaskContent Security Policies for Web Apps

Advanced Web Application Settings in Domino

App Scaling and PerformanceHost HTML Pages from DominoHow to Get the Domino Username of an App Viewer

Launchers

Launchers OverviewAdvanced Launcher Editor

Assets Portfolio Overview

Model Monitoring

Model Monitoring APIsAccessing The Model MonitorGet Started with Model MonitoringModel Monitor DeploymentIngest Data into The Model MonitorModel RegistrationMonitoring Data DriftMonitoring Model QualitySetting Scheduled Checks for the ModelConfigure Notification Channels for the ModelUse Model Monitoring APIsProduct Settings

Connect to your Data

Data in Domino

Datasets OverviewDatasets Best Practices

Data Sources Overview

Connect to Data Sources

External Data Volumes

Work with Data Best Practices

Work with Big Data in DominoWork with Lots of FilesMove Data Over a Network

Advanced User Configuration Settings

User API KeysDomino TokenOrganizations Overview

Use the Domino Command Line Interface (CLI)

Install the Domino Command Line (CLI)Domino CLI ReferenceDownload Files with the CLIForce-Restore a Local ProjectMove a Project Between Domino DeploymentsUse the Domino CLI Behind a Proxy

Browser Support

Get Help with Domino

Additional ResourcesGet Domino VersionContact Domino Technical SupportSupport Bundles

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Domino Reference

Domino Reference

Projects
Runs
Scheduled Jobs
Workspaces
Spark
Ray
Dask
Environments
Publishing
Model Monitoring
Connect to your data
User accounts
Command line
Browser support

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