PsychiatryNLPKit.analysis.AnalysisResult

class PsychiatryNLPKit.analysis.AnalysisResult(results=<factory>, sections=<factory>, analyses_run=<factory>, errors=<factory>)[source]

Container for batch analysis output.

Attributes:

results: Merged per-section metrics keyed by section name, then metric name.: Matches the {section → {metric: value}} return shape of individual analysis functions.

sections: Section names in order (from TextData.section_names). analyses_run: Analysis function names that executed successfully. errors: Per-function failures mapped as function_name → error message.

__init__(results=<factory>, sections=<factory>, analyses_run=<factory>, errors=<factory>)

Methods

__init__([results, sections, analyses_run, ...])

Attributes

`results`
`sections`
`analyses_run`
`errors`

results: dict[str, dict[str, float]]

sections: list[str]

analyses_run: list[str]

errors: dict[str, str]

__init__(results=<factory>, sections=<factory>, analyses_run=<factory>, errors=<factory>)