training Omikuji backend

[Uldis Bojars]

Hi,

We have trained the Annif Omikuji backend with a short text corpus (MARC field 245 contents + field 505 if present) covering ~67 thousand records.

Is there a way to improve the resulting model, e.g., by adjusting its parameters?

Here are the current parameters:

language=lv
backend=omikuji
analyzer=simplemma(lv)
vocab=nllsh_2026_04
cluster_balanced=False
cluster_k=100
max_depth=3

Best regards,

Uldis