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This PR enhances the ML Core platform across three areas:
Dataset Analytics UX
Enhanced the dataset statistics sidebar to include comprehensive descriptive statistics (count, mean, std, min, 25%, 50%, 75%, max) for every numeric column, and added a Pearson correlation heatmap with colour-coded cells (green = positive, red = negative) that adapts to both light and dark modes. The backend now computes
df.corr()and exposes it via the dataset metadata pipeline.Model Workflow UX
Migrated Train, Retrain, and Predict interfaces from blocking
Dialogoverlays to persistentSheetsidebars. Added a searchable checkbox grid for feature selection and refactoredPredictInputsinto a tabular list that gracefully scales to large feature counts.Deployment Controls
Added three new environment variables (
DISABLE_SIGNUP,DEFAULT_ADMIN_EMAIL,DEFAULT_ADMIN_PASSWORD) to support locked-down Docker deployments. When set, the server auto-seeds an admin user on first boot and blocks public registration at the API level. The client fetchesGET /api/auth/configon mount and hides the Sign Up tab automatically — no client-side config needed.Updated all three READMEs (root, server, client) to document the new features and environment variables.
Fixes # (issue)
#4
Type of change
How Has This Been Tested?
DISABLE_SIGNUP=Truein.env, restarted server; confirmedPOST /api/auth/signupreturns403and the Sign Up tab disappears from the UI on page load.DEFAULT_ADMIN_EMAIL+DEFAULT_ADMIN_PASSWORD; confirmed server logsSeeding default admin useron first boot and skips it on subsequent restarts (idempotent).uv run ruff check src→ All checks passed.npm run lint→ 0 errors, 0 warnings.Checklist