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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.

15 facts·7 predicates·6 sources·2 in dispute

Mostly:rdf:type(6), rdfs:label(4), instantiated with(1)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf: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

  • Reader class[3]all time · 41b29f03 8784 49da B656 9a1b5c8d5506
  • Reader[4]all time · 0621d4bb 7085 423a 91ab Fbc7bec04974
  • Reader[1]all time · C40e50f6 D3cb 4287 Bf31 Febe552c96cf
  • Reader Configuration Class[5]all time · Ca82f6df 035e 4bb4 92d9 E1c0a1e83da2

Instantiated Withinstantiated_with

Belongs to ManybelongsToMany

  • Surprise[1]all time · C40e50f6 D3cb 4287 Bf31 Febe552c96cf

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

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.

rdf:typeRdf:type(5)

addressedToAddressed to(1)

importedAsImported As(1)

importsImports(1)

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.

belongsToManybeam/c40e50f6-d3cb-4287-bf31-febe552c96cf
ex:surprise
constructorParameterbeam/d20f04e6-ac24-40a3-ba7d-a928d5401600
rating_scale
instantiated_withbeam/41b29f03-8784-49da-b656-9a1b5c8d5506
ex:rating_scale_parameter
instantiatedWithbeam/d20f04e6-ac24-40a3-ba7d-a928d5401600
ex:rating-scale-parameter
labelbeam/41b29f03-8784-49da-b656-9a1b5c8d5506
Reader class
labelbeam/0621d4bb-7085-423a-91ab-fbc7bec04974
Reader
labelbeam/c40e50f6-d3cb-4287-bf31-febe552c96cf
Reader
labelbeam/ca82f6df-035e-4bb4-92d9-e1c0a1e83da2
Reader Configuration Class
typebeam/d20f04e6-ac24-40a3-ba7d-a928d5401600
ex:Class
typebeam/41b29f03-8784-49da-b656-9a1b5c8d5506
ex:Class
typebeam/c40e50f6-d3cb-4287-bf31-febe552c96cf
ex:Class
typebeam/ca82f6df-035e-4bb4-92d9-e1c0a1e83da2
ex:ConfigurationClass
typebeam/0621d4bb-7085-423a-91ab-fbc7bec04974
ex:ImportedClass
typebeam/76cb900b-70ef-4915-b12d-e2d39a67e94e
ex:Role
requiresbeam/d20f04e6-ac24-40a3-ba7d-a928d5401600
rating_scale

References (6)

6 references
  1. customctx:claims/beam/c40e50f6-d3cb-4287-bf31-febe552c96cf
  2. customctx:claims/beam/d20f04e6-ac24-40a3-ba7d-a928d5401600
  3. [3]beam-chunk3 facts
    customctx:claims/beam/41b29f03-8784-49da-b656-9a1b5c8d5506
    • full textbeam-chunk
      text/plain1 KBdoc:beam/41b29f03-8784-49da-b656-9a1b5c8d5506
      Show 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
  4. customctx:claims/beam/0621d4bb-7085-423a-91ab-fbc7bec04974
  5. [5]beam-chunk2 facts
    customctx:claims/beam/ca82f6df-035e-4bb4-92d9-e1c0a1e83da2
    • full textbeam-chunk
      text/plain1 KBdoc:beam/ca82f6df-035e-4bb4-92d9-e1c0a1e83da2
      Show 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
  6. customctx:claims/beam/76cb900b-70ef-4915-b12d-e2d39a67e94e

See also

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