Examples
Examples
Try the starting example
- Value frequency rows [value,count]
- [[1,10],[2,20],[3,5]]
- Mapping rows [input value,output class]
- [[1,10],[2,10]]
- Output class and total count
- [[10,30]]
- Unmapped value counts
- [[3,5]]
Try another scenario
- Value frequency rows [value,count]
- [[1,10],[2,20],[3,5]]
- Mapping rows [input value,output class]
- [[1,10],[2,10],[3,20]]
- Output class and total count
- [[10,30],[20,5]]
- Unmapped value counts
- []
Calculation method
Calculation method
Output class and total count
Map exact values; sum frequencies by class.
Unmapped value counts
Values missing from mapping stay explicitly unmapped.
Symbols and units
- a
- Value frequency rows [value,count]
- b
- Mapping rows [input value,output class]
Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.
Assumptions & limits
Assumptions & limits
- Value frequencies, supplied mapping rules. Returns Output-class counts and unmapped values. All coefficients and observations are user supplied; results describe only the stated mathematical model. Quantities are deterministic calculations from supplied observations and assumptions; no external data is fetched. Supported limits: Finite inputs only; numeric fields bounded as labelled. Lists and JSON records are limited to 256 entries unless a stricter tool bound is stated. No automatic design approval, legal conclusion, treatment recommendation or safety certification.
Are these inputs private?
These calculations run in your browser. A shared link contains the values you choose to share. Only questions submitted to the separate AI finder are sent to OpenAI.