Index

A

add() (pracmln.Database method)

addClassificationResult() (pracmln.utils.eval.ConfusionMatrix method)

C

combine() (pracmln.utils.eval.ConfusionMatrix method) ConfusionMatrix (class in pracmln.utils.eval) constant() (pracmln.MLN method)

content (pracmln.mlnpath attribute) copy() (pracmln.Database method) (pracmln.MLN method) countClassifications() (pracmln.utils.eval.ConfusionMatrix method)

D

Database (class in pracmln), [1] Database.PseudoMRF (class in pracmln) db (pracmln.MLNLearn attribute)

declare_predicate() (pracmln.MLN method) discr_preds (pracmln.MLNLearn attribute) domain() (pracmln.Database method)

E

epreds (pracmln.MLNLearn attribute)

exists (pracmln.mlnpath attribute)

F

file (pracmln.mlnpath attribute)

formula() (pracmln.MLN method)

G

getInstance() (in module scripts.mln_server.Storage) getLatexTable() (pracmln.utils.eval.ConfusionMatrix method) getMatrixEntry() (pracmln.utils.eval.ConfusionMatrix method) getMetrics() (pracmln.utils.eval.ConfusionMatrix method)

getTotalAccuracy() (pracmln.utils.eval.ConfusionMatrix method) gndatoms() (pracmln.Database method) grammar (pracmln.MLNLearn attribute) ground() (pracmln.MLN method)

H

handle_mln_query() (in module scripts.mln_server)

I

ignore_unknown_preds (pracmln.MLNLearn attribute) ignore_zero_weight_formulas (pracmln.MLNLearn attribute) incremental (pracmln.MLNLearn attribute) isempty() (pracmln.Database method) ishard() (pracmln.Database method)

iter_formulas_printable() (pracmln.MLN method) iter_true_var_assignments() (pracmln.Database.PseudoMRF method) iterformulas() (pracmln.MLN method) iteritems() (pracmln.utils.eval.ConfusionMatrix method) iterpreds() (pracmln.MLN method)

L

learn() (pracmln.MLN method) load() (pracmln.Database static method) (pracmln.MLN static method), [1]

logic (pracmln.MLNLearn attribute)

M

materialize() (pracmln.MLN method) method (pracmln.MLNLearn attribute) MLN (class in pracmln), [1] mln (pracmln.MLNLearn attribute)

mln_interface_client() (in module scripts.mln_mln) mln_interface_server() (in module scripts.mln_server) MLNLearn (class in pracmln) mlnpath (class in pracmln) multicore (pracmln.MLNLearn attribute)

O

output_filename (pracmln.MLNLearn attribute)

P

params (pracmln.MLNLearn attribute) pattern (pracmln.MLNLearn attribute) pracmln (module) pracmln.utils.eval (module) predicate() (pracmln.MLN method) print_formulas() (pracmln.MLN method)

printPrecisions() (pracmln.utils.eval.ConfusionMatrix method) printTable() (pracmln.utils.eval.ConfusionMatrix method) prior_mean (pracmln.MLNLearn attribute) prior_stdev (pracmln.MLNLearn attribute) profile (pracmln.MLNLearn attribute) project (pracmln.mlnpath attribute) projectloc (pracmln.mlnpath attribute)

Q

qpreds (pracmln.MLNLearn attribute)

query() (pracmln.Database method), [1]

R

retract() (pracmln.Database method)

retractall() (pracmln.Database method) rmval() (pracmln.Database method)

S

save (pracmln.MLNLearn attribute)

shuffle (pracmln.MLNLearn attribute)

T

tofile() (pracmln.Database method) (pracmln.MLN method)

toFile() (pracmln.utils.eval.ConfusionMatrix method) toPDF() (pracmln.utils.eval.ConfusionMatrix method) truth() (pracmln.Database method)

U

union() (pracmln.Database method) update_domain() (pracmln.MLN method)

update_predicates() (pracmln.MLN method) use_initial_weights (pracmln.MLNLearn attribute) use_prior (pracmln.MLNLearn attribute)

V

verbose (pracmln.MLNLearn attribute)

W

weight() (pracmln.MLN method)

write() (pracmln.Database method), [1] (pracmln.MLN method), [1]