Machine Learning
Train classification or regression from a gold dataset with status ready and 100+ rows, or from Housing / Iris in the wizard.
Data Intelligence → Machine Learning (/ml)
Compared to Forecast and Loop
| ML | Forecast | Loop | |
|---|---|---|---|
| Output | Category or number per row | Future values over time | Predictions that learn from feedback |
| Data | Gold (or samples) | Forecast gold (or AirPassengers) | Loop wizard (not Lake gold) |
Full chooser: What is Heimdall?
Need an answer from a piece of text, with no labeled rows? Use Resolve.
Path
How training works: How training works.
Common mistakes
| Mistake | Fix |
|---|---|
| CSV upload in the wizard | Only samples. Use Lake → gold |
| Empty gold picker | Publish with Machine learning use case, status ready |