Action calcjacc

Calculates the similarity matrices (Jaccard index) used by Non-redundant Noisy-OR for each relation.

Configuration file

Input :

• PATH_TRAININGValid path (file)

  Path to training file (absolute or relative), default: train.txt

• PATH_TESTValid path (file)

  Path to test file (absolute or relative), default: test.txt

• PATH_VALIDValid path (file)

  Path to validation file (absolute or relative), default: valid.txt

• PATH_RULESValid path (file)

  Path to rules file (absolute or relative), default: rules.txt

Properties :

• WORKER_THREADSint

  Number of threads that are used for computation. (-1 means all threads are used), default: -1

• DISCRIMINATION_BOUNDint

  Discriminates (omits) rules which predict more elements than this, 0 means no limit., default: 4000

• REFLEXIV_TOKENstring

  Token used for substitution of reflexive rules. (Used if AnyBURL ruleset was trained with REWRITE_REFLEXIV = TRUE), default: me_myself_i

• SEEDint

  Seed for generating hash functions used in MinHash, default: 0

• RESOLUTIONint

  Sets the accuracy of the Jaccard estimation. The number of hash functions used in MinHash (f.e. RESOLUTION = 200 –> 200 hash functions –> Max resolution of Jaccard 1/200), default: 200

• ONLY_XYint

  If set to 1, only cyclic (XY) rules are read from the rules file, default: 0

Output :

• PATH_JACCARDValid path (directory)

  Path to directory for storing binary files containing similarity matrices for each relation. 0_jacc.bin f.e. is the similarity matrix of relation with ID 0., default: jaccard/