Index

A

Attribute (class in wbn.object)

C

Classification (class in wbn.object) ClassificationScore (class in wbn.object)

cls() (wbn.object.Classification property) (wbn.object.ClassificationScore property) corpus() (wbn.object.Classification property)

D

dag() (wbn.object.Classification property) data() (wbn.object.Document property) (wbn.object.Documents property)

Document (class in wbn.object) DocumentData (class in wbn.object) Documents (class in wbn.object)

E

edges() (wbn.object.ClassificationScore property)

F

fit() (wbn.classifier.WBN method)

I

InstanceCountError

K

keywords() (wbn.object.DocumentData property)

L

load_pr_newswire() (in module wbn.sample) (in module wbn.sample.datasets)

M

MaxDepthExceededError module wbn wbn.classifier wbn.config wbn.errors wbn.object wbn.sample wbn.sample.datasets

N

negative() (wbn.object.Attribute property)

P

positive() (wbn.object.Attribute property)

predict() (wbn.classifier.WBN method) probability() (wbn.object.ClassificationScore property)

R

reverse_encode() (wbn.classifier.WBN method)

T

target() (wbn.object.Document property) (wbn.object.Documents property)

tokens() (wbn.object.DocumentData property) total() (wbn.object.Attribute property)

W

wbn module WBN (class in wbn.classifier) wbn.classifier module wbn.config module wbn.errors module

wbn.object module wbn.sample module wbn.sample.datasets module WBNException weight() (wbn.object.Attribute property) word() (wbn.object.Attribute property)