Index

A

apply() (in module maskme.strategies.hashing)

as_dict() (maskme.ner.PipelineResult method)

C

contains() (maskme.ner.Entity method)

D

DATE (maskme.ner.EntityLabel attribute) detect() (maskme.ner.Detector method)

Detector (class in maskme.ner) detector (maskme.ner.Entity attribute), [1]

E

end (maskme.ner.Entity attribute), [1] entities (maskme.ner.PipelineResult attribute), [1]

Entity (class in maskme.ner) entity_count (maskme.ner.PipelineResult property) EntityLabel (class in maskme.ner)

I

input (maskme.ner.PipelineResult attribute), [1]

L

label (maskme.ner.Entity attribute), [1] labels_found (maskme.ner.PipelineResult property)

language (maskme.ner.PipelineResult attribute), [1] LOCATION (maskme.ner.EntityLabel attribute)

M

mask() (in module maskme.ner) (maskme.core.engine.MaskMe method) MaskMe (class in maskme.core.engine) maskme.core.engine module maskme.ner module

maskme.strategies.hashing module metadata (maskme.ner.Entity attribute), [1] module maskme.core.engine maskme.ner maskme.strategies.hashing

N

name (maskme.ner.Detector attribute)

O

ORGANISATION (maskme.ner.EntityLabel attribute)

output (maskme.ner.PipelineResult attribute), [1] overlaps() (maskme.ner.Entity method)

P

PERSON (maskme.ner.EntityLabel attribute)

PipelineResult (class in maskme.ner) priority (maskme.ner.Detector attribute)

R

resolve_spans() (in module maskme.ner)

S

score (maskme.ner.Entity attribute), [1]

start (maskme.ner.Entity attribute), [1] stats (maskme.ner.PipelineResult attribute), [1]

T

text (maskme.ner.Entity attribute), [1]

TIME (maskme.ner.EntityLabel attribute)