Skip to content

Main content

Cross Entropy Reference Zero Support Flag Tool

Calculate cross entropy reference zero support flag from explicit caller-supplied inputs.

Loading tool…

Description

Validate both probabilities in [0, 1].

Negative log probability scores an observed event. Flooring probabilities changes that score and support rules distinguish zero contribution from an infinite mismatch.

Validate both probabilities in [0, 1].

When to use this tool

Use Cross Entropy Reference Zero Support Flag when you need one explicit log-probability policy or support diagnostic.

How to use the tool and how it works

  1. Enter sourceProbability, referenceProbability. 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 infinite, zeroContribution. Inspect infinite, zeroContribution before interpreting the associated values.

Validate both probabilities in [0, 1]. Mark infinite for positive sourceProbability with zero referenceProbability and zeroContribution whenever sourceProbability is zero.1

Input fieldMeaning and unitsAccepted input
sourceProbabilitySource ProbabilityRequired. Finite number; minimum 0; maximum 1.
referenceProbabilityReference ProbabilityRequired. Finite number; minimum 0; maximum 1.
Output fieldInterpretationReturned shape
infiniteInfiniteRequired. Boolean.
zeroContributionZero ContributionRequired. Boolean.
json
{
  "input": {
    "sourceProbability": 0.25,
    "referenceProbability": 0
  },
  "output": {
    "infinite": true,
    "zeroContribution": false
  }
}

Limitations and assumptions

  • This flags support cases without computing a logarithmic contribution; full distributions and normalization are not checked.
  • 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

Keep clipping and normalization policies consistent across the complete probability model and evaluation set.

References

  1. Calculation and input contract: information/cross-entropy-reference-zero-support-flag — tool.io

Similar or alternative tools