Description
Return denominator=sum(row) and value=row[index]/denominator.
Normalization depends on the supplied center, scale, norm, range, reference distribution, or denominator. A zero spread and a missing denominator need an explicit policy, and clipping differs from fitting a scaler. Evaluating one scalar or derivative term does not estimate every parameter or establish a distributional improvement.
Return denominator=sum(row) and value=row[index]/denominator.
When to use this tool
Use Rowwise Normalization Selected Cell when you already have the required normalization parameters and need this local scalar, range, policy, or derivative term.
How to use the tool and how it works
- Enter row, index. Use the units and conventions below.
- Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
- Read value, denominator. Use the output convention below.
Require a valid zero-based index, nonnegative row values, and a positive row sum. Return denominator=sum(row) and value=row[index]/denominator.1
| Input field | Meaning and units | Accepted input |
|---|---|---|
| row | Row | Required. Array of finite number; maximum items 256. |
| index | Index | Required. Safe integer; minimum 0. |
| Output field | Interpretation | Returned shape |
|---|---|---|
| value | Supplied scalar or returned value under the stated operation. | Required. Finite number. |
| denominator | Denominator or exact integer denominator text under the stated sign restriction. | Required. Finite number. |
{
"input": {
"row": [
1,
3
],
"index": 1
},
"output": {
"value": 0.75,
"denominator": 4
}
}Limitations and assumptions
- Only the selected normalized cell is returned. The list and weights are supplied; a zero-sum row is rejected rather than given a fallback, and no matrix is processed or fitted.
- Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.
- Numeric calculations use binary floating point unless exact decimal-integer arithmetic is explicitly stated. No hidden measurement tolerance or decimal rounding is added; nonfinite or out-of-contract results are rejected. Numeric signed-zero results are exported as zero.
Alternative or Complementary methods
Fit or verify the intended scaler parameters and statistical model separately. Check units, zero policies, missingness, clipping, inverse conventions, and whether supplied norms or denominators belong to the same data.
References
Similar or alternative tools
- Unit Sum Residual
Measure the signed difference from unit sum without changing or constraining supplied signed weights.
- Masked Scaler Denominator Adjustment
Sum weights with missing=false into retainedWeight and those with missing=true into excludedWeight.