Skip to content

Main content

Log Scaler Positive Domain Distance Tool

Calculate log scaler positive domain distance from explicit caller-supplied inputs.

Loading tool…

Description

Return distance=value-lowerBoundary and valid=(value>lowerBoundary).

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 distance=value-lowerBoundary and valid=(value>lowerBoundary).

When to use this tool

Use Log Scaler Positive Domain Distance 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

  1. Enter value, lowerBoundary. Use the units and conventions below.
  2. Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
  3. Read distance, valid. Inspect valid before interpreting the associated values.

Return distance=value-lowerBoundary and valid=(value>lowerBoundary).1

Input fieldMeaning and unitsAccepted input
valueSupplied scalar or returned value under the stated operation.Required. Finite number.
lowerBoundaryLower BoundaryRequired. Finite number.
Output fieldInterpretationReturned shape
distanceDistanceRequired. Finite number.
validValidRequired. Boolean.
json
{
  "input": {
    "value": 3,
    "lowerBoundary": 1
  },
  "output": {
    "distance": 2,
    "valid": true
  }
}

Limitations and assumptions

  • This checks a strict shifted-domain boundary without taking a logarithm. The boundary may be supplied independently of a real transform; valid=false is a successful result, not an input error or automatic replacement decision.
  • 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

  1. Calculation and input contract: normalize/log-scaler-positive-domain-distance — tool.io

Similar or alternative tools