Deploying and Maintaining Models
Validate an incoming numerical batch
BOTIE
Examples, experiments and workspace controls
Connect a tool's inputs to see what it produces. You can try a branch before connecting it to Result.
Try your own inputs
Use a copy of the example to try your own data. Keep the problem's assumptions in mind, and predict the effect of a change before checking the output. You can also add another branch to compare two ways of doing the calculation.
Context for this challenge
Send the table through the finite-width validator, then calculate its column means to confirm the same accepted values pass through.
Before applying a saved predictor, Botie needs a numerical batch with the declared width and finite entries.
Pass the input table through the finite-width validator, then calculate column means from the accepted values.
Examples and results
- Input records
1 2 3 4 - Required feature count
2
- Required result
- 02
- 13
- Input records
5 7 - Required feature count
2
- Required result
- 05
- 17
Try a fresh construction
This clears this draft, including its undo history. Earlier successful attempts stay recorded. Build again without opening hints to record an independent attempt.
Stuck? Inspect a worked construction
The tools below form one possible solution. You can assemble it, follow its signals, and undo that change to return to your own construction.
Assumptions and test precision
This numerical check cannot infer feature names or units. The request parser must enforce those separately. Numerical tests allow a difference of 0.001. Lists and structures must also have the right shape.
A three-feature batch contains legitimate zeros
This check uses the pieces from “Validate records before reducing them”.
BOTIE
- Input records
0 -2 4 6 2 0 - Required feature count
3
Use a number, text, or an array matching the requested result. For a matrix, put each row in brackets. Saving your prediction runs your current construction on these inputs and checks the earlier examples too.
Build a construction in the workspace above first. This case will test those pieces.
Could a valid-width batch still swap temperature and pressure columns?
A serving boundary needs semantic schema checks alongside numerical shape and finiteness checks.
This numerical check cannot infer feature names or units. The request parser must enforce those separately.
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