Reader
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
Reader has 15 facts recorded in Dontopedia across 6 references, with 2 live disagreements.
Mostly:rdf:type(6), rdfs:label(4), instantiated with(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedRdf:typein disputerdf:type
- Class[2]all time · D20f04e6 Ac24 40a3 Ba7d A928d5401600
- Class[3]sourceall time · 41b29f03 8784 49da B656 9a1b5c8d5506
- Class[1]all time · C40e50f6 D3cb 4287 Bf31 Febe552c96cf
- Configuration Class[5]all time · Ca82f6df 035e 4bb4 92d9 E1c0a1e83da2
- Imported Class[4]all time · 0621d4bb 7085 423a 91ab Fbc7bec04974
- Role[6]all time · 76cb900b 70ef 4915 B12d E2d39a67e94e
Rdfs:labelin disputerdfs:label
Instantiated Withinstantiated_with
- Rating Scale Parameter[3]sourceall time · 41b29f03 8784 49da B656 9a1b5c8d5506
Belongs to ManybelongsToMany
Constructor ParameterconstructorParameter
- rating_scale[2]all time · D20f04e6 Ac24 40a3 Ba7d A928d5401600
Requiresrequires
- rating_scale[2]all time · D20f04e6 Ac24 40a3 Ba7d A928d5401600
Instantiated WithinstantiatedWith
- Rating Scale Parameter[2]all time · D20f04e6 Ac24 40a3 Ba7d A928d5401600
Inbound mentions (8)
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.
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 (6)
- custom
ctx:claims/beam/c40e50f6-d3cb-4287-bf31-febe552c96cf - custom
ctx:claims/beam/d20f04e6-ac24-40a3-ba7d-a928d5401600 - 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…
- custom
ctx:claims/beam/0621d4bb-7085-423a-91ab-fbc7bec04974 - custom
ctx:claims/beam/ca82f6df-035e-4bb4-92d9-e1c0a1e83da2- full textbeam-chunktext/plain1 KB
doc:beam/ca82f6df-035e-4bb4-92d9-e1c0a1e83da2Show excerpt
Here's an example implementation that demonstrates how to incorporate user feedback to refine the SVD model: ```python import pandas as pd from surprise import Dataset, Reader, SVD from surprise.model_selection import train_test_split # L…
- custom
ctx:claims/beam/76cb900b-70ef-4915-b12d-e2d39a67e94e
See also
Keep researching
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