Item Id
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
Item Id has 8 facts recorded in Dontopedia across 5 references, with 1 live disagreement.
Mostly:rdf:type(4), parameter name(1), used in(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedRdf:typein disputerdf:type
Parameter NameparameterName
- item_id[2]all time · Bb48cb28 Dac4 4e76 8054 489138e7e97f
Used inusedIn
- Validate Input[4]all time · 0621d4bb 7085 423a 91ab Fbc7bec04974
Rdfs:labelrdfs:label
- item_id[3]all time · C40e50f6 D3cb 4287 Bf31 Febe552c96cf
Is Part ofisPartOf
Inbound mentions (10)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
hasArgumentHas Argument(3)
- Model Predict
ex:model-predict - Model Update
ex:model-update - Partial Fit Call
ex:partial_fit_call
parameterParameter(2)
- Delete Items Item Id
ex:delete-items-item_id - Put Items Item Id
ex:put-items-item_id
appliedToApplied to(1)
- Isinstance
ex:isinstance
extractsExtracts(1)
- Interaction Loop
ex:interaction-loop
hasComponentHas Component(1)
- Interaction
ex:interaction
has_parameterHas Parameter(1)
- Update Method
ex:update_method
receivesReceives(1)
- Partial Fit Call
ex:partial_fit_call
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (5)
- custom
ctx:claims/beam/d20f04e6-ac24-40a3-ba7d-a928d5401600 - custom
ctx:claims/beam/bb48cb28-dac4-4e76-8054-489138e7e97f - custom
ctx:claims/beam/c40e50f6-d3cb-4287-bf31-febe552c96cf - custom
ctx:claims/beam/0621d4bb-7085-423a-91ab-fbc7bec04974 - custom
ctx:claims/beam/41b29f03-8784-49da-b656-9a1b5c8d5506- full textbeam-chunktext/plain1 KB
doc:beam/41b29f03-8784-49da-b656-9a1b5c8d5506Show excerpt
# Test the model true_ratings = [interaction[2] for interaction in test_interactions] predicted_ratings = [model.predict(user_id, item_id).est for user_id, item_id, _, _ in test_interactions] # Calculate accuracy ac…
See also
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