interlinking.learning.learn_thres(fname, sim_group='basic')[source]¶ Compute optimal thresholds for each similarity metric in specified group regarding the fname dataset. Parameters fname (str) – File name of the dataset. sim_group (str) – Name of the group of the similarity metrics. Accepted values are basic or basic_sorted. interlinking.learning.learn_params_for_lgm(fname, encoding)[source]¶ Compute optimal thresholds and weights for each similarity metric in the LGM-Sim group only regarding the fname dataset. Parameters fname (str) – File name of the dataset. encoding (str) – Encoding of the fname dataset.
interlinking.learning.
learn_thres
Compute optimal thresholds for each similarity metric in specified group regarding the fname dataset.
fname (str) – File name of the dataset.
str
sim_group (str) – Name of the group of the similarity metrics. Accepted values are basic or basic_sorted.
learn_params_for_lgm
Compute optimal thresholds and weights for each similarity metric in the LGM-Sim group only regarding the fname dataset.
LGM-Sim
encoding (str) – Encoding of the fname dataset.
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