Publish data for modeling (gold)
Create a gold artifact from a bronze or silver table in Lake. Pick Machine learning or Forecast before you validate.
Steps
- Sidebar → Data Warehouse → Lake → open a bronze or silver table.
- Click Publish gold.
- Enter a gold artifact name.
- Select the use case:
- Machine learning: choose the target column.
- Forecast: choose Time column (forecast), or leave Auto-detect from first columns. Validate checks that the series is numeric. There is no separate value-column control on this dialog.
- Click Validate: read errors in the dialog and fix source data if needed.
- Click Publish → artifact appears under Gold tab, status ready.
Start training from gold
| Product | UI path |
|---|---|
| ML | Data Intelligence → Machine Learning → New model → Published dataset (Gold) |
| Forecast | Data Intelligence → Forecast → New Forecast → select the gold artifact |
Requirements (verified in app)
| Use case | Minimum rows | Notes |
|---|---|---|
| ML | 100 | Target column required; needs variation in the target |
| Forecast | 30 | Parseable datetime + numeric value column |
Common mistakes
| Mistake | Fix |
|---|---|
| Gold missing in ML wizard | Confirm Gold tab shows ready and ML use case was enabled at publish |
| Validation failed (ML) | Add rows (100+), fix target column, check dtypes |
| Validation failed (Forecast) | Ensure datetime parses; value column is numeric |
| Skipped gold for "speed" | Direct CSV upload in ML wizard is disabled: gold is required |