Dontopedia

Modular Design Principle

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Modular Design Principle has 2 facts recorded in Dontopedia across 2 references.

2 facts·2 predicates·2 sources
Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (2)

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exemplifiesExemplifies(1)

illustratesIllustrates(1)

Other facts (2)

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2 facts
PredicateValueRef
Rdf:typeSoftware Engineering Principle[1]
Is Exemplified byEvaluation Pipeline[2]

Timeline

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2 undated
—
typebeam/a7d131cd-897c-4eb4-993b-978d38719f44
ex:SoftwareEngineeringPrinciple
—
isExemplifiedBybeam/9135d402-fc47-4283-b912-3de3bce312e4
ex:evaluation-pipeline

References (2)

2 references
  1. [1]A7d131cd 897c 4eb4 993b 978d38719f441 fact
    ctx:claims/beam/a7d131cd-897c-4eb4-993b-978d38719f44
    • full textbeam-chunk
      text/plain1 KBdoc:beam/a7d131cd-897c-4eb4-993b-978d38719f44
      Show excerpt
      Let's assume you have two main modules: `SparseQueryModule` and `DenseQueryModule`. Here's how you can structure them: #### 1. SparseQueryModule - **Responsibilities:** - Handle sparse vector queries. - Use techniques like BM25 or TF-…
  2. [2]9135d402 Fc47 4283 B912 3de3bce312e41 fact
    ctx:claims/beam/9135d402-fc47-4283-b912-3de3bce312e4
    • full textbeam-chunk
      text/plain1 KBdoc:beam/9135d402-fc47-4283-b912-3de3bce312e4
      Show excerpt
      futures.append(executor.submit(pipeline.evaluate, batch)) # Collect results results = [future.result() for future in futures] # Flatten the results scores = np.concatenate(results) print(scores) ```…

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