transform_result

`transform_result` ¶

Classes:

Name	Description
`ColumnStatistics`	Metadata and statistics for transformations and detected entities in a column.
`TransformResult`	Result of PII replacement: transformed data and per-column statistics.

`ColumnStatistics` `pydantic-model` ¶

Bases: BaseModel

Metadata and statistics for transformations and detected entities in a column.

Tracks assigned type and entity from classification, NER-detected counts and values per entity, and which transform functions were applied.

Fields:

assigned_type (str | None)
assigned_entity (str | None)
detected_entity_counts (dict[str, int])
detected_entity_values (dict[str, set])
is_transformed (bool)
transform_functions (set[str])

`assigned_type` `pydantic-field` ¶

Type assigned to the column, usually from column classification.

`assigned_entity` `pydantic-field` ¶

Entity assigned to the column, usually from column classification.

`detected_entity_counts` `pydantic-field` ¶

Entity name to count of times NER detected it in the column.

`detected_entity_values` `pydantic-field` ¶

Entity name to set of detected values.

`is_transformed = False` `pydantic-field` ¶

Whether the column was transformed.

`transform_functions` `pydantic-field` ¶

Names of transform functions applied to the column.