USAGE.md

Usage Guide

This walkthrough takes you from zero to a running ML experiment using the OpenModelStudio UI.

Step 1 -- Log In

Open http://localhost:31000 and sign in with the default credentials:

Email	Password
test@openmodel.studio	Test1234

You land on the Dashboard with summary metrics and quick actions.

Step 2 -- Create a Project

1. Click Projects in the sidebar
2. Click + New Project (top-right)
3. Fill in:
   • Name: Titanic Survival
   • Description: Predict passenger survival using Random Forest
4. Click Create

Your project now appears in the project grid. All models, datasets, jobs, and experiments will live under this project.

Step 3 -- Upload a Dataset

1. Click Datasets in the sidebar
2. Click + Upload Dataset
3. Select your project (Titanic Survival)
4. Name it titanic
5. Upload your titanic.csv file (columns: Survived, Pclass, Age, Fare)
6. Click Upload

The dataset appears in the list with format, size, and version info.

Step 4 -- Launch a JupyterLab Workspace

1. Click Workspaces in the sidebar
2. Click + Launch Workspace
3. Select JupyterLab as the IDE
4. Select your project (Titanic Survival)
5. Click Launch Workspace

The platform provisions a Kubernetes pod with JupyterLab. Once ready, the workspace loads inline. A welcome notebook is pre-loaded with the end-to-end modeling workflow.

Next Steps

Once your workspace is running, follow the Modeling Guide to train, evaluate, and track models using the SDK.