Description
Recognize a missing-value token under supplied text normalization.
Feature transformations depend on training-derived parameters, category vocabularies and explicit missing-value conventions. A local formula or token rule does not ensure that fitting, application and validation avoid data leakage.
Recognize a missing-value token under supplied text normalization.
When to use this tool
Use Missingness Indicator One Cell Token when checking one supplied feature-transform or encoding component.
How to use the tool and how it works
- Enter value, missingTokens, trim, caseSensitive. Use the units and conventions below.
- Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
- Read missing. Inspect missing before interpreting the associated values.
Recognize a missing-value token under supplied text normalization. Optionally trim both value and missingTokens and lowercase when caseSensitive is false, then test any equality.1
| Input field | Meaning and units | Accepted input |
|---|---|---|
| value | Value | Required. Text; maximum UTF-16 length 8192. |
| missingTokens | Missing Tokens | Required. Array of text; maximum UTF-16 length 8192; maximum items 256. |
| trim | Trim | Required. Boolean. |
| caseSensitive | Case Sensitive | Required. Boolean. |
| Output field | Interpretation | Returned shape |
|---|---|---|
| missing | Missing | Required. Boolean. |
{
"input": {
"value": " NA ",
"missingTokens": [
"NA",
""
],
"trim": true,
"caseSensitive": false
},
"output": {
"missing": true
}
}Limitations and assumptions
- This is literal token policy, not detection of native null, numeric NaN or semantic missingness.
- 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.
Alternative or Complementary methods
Use a correctly fitted preprocessing pipeline and suitable validation design for complete data transformation and model assessment.
References
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