Dontopedia

SparseVectorizer

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-07.)

SparseVectorizer has 8 facts recorded in Dontopedia across 1 reference, with 2 live disagreements.

8 facts·4 predicates·1 sources·2 in dispute

Mostly:has method(3), has attribute(2), rdf:type(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (1)

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.

instanceOfInstance of(1)

Other facts (7)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

7 facts
PredicateValueRef
Has MethodAdd Vector Method[1]
Has MethodGet Vectors Method[1]
Has MethodResize Method[1]
Has AttributeCapacity[1]
Has AttributeVectors[1]
Rdf:typePython Class[1]
Uses Data TypeCsr Matrix[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.

typebeam/078a77df-55b0-4824-8111-4d77ab0c96e1
ex:PythonClass
labelbeam/078a77df-55b0-4824-8111-4d77ab0c96e1
SparseVectorizer
hasAttributebeam/078a77df-55b0-4824-8111-4d77ab0c96e1
ex:capacity
hasAttributebeam/078a77df-55b0-4824-8111-4d77ab0c96e1
ex:vectors
hasMethodbeam/078a77df-55b0-4824-8111-4d77ab0c96e1
ex:add-vector-method
hasMethodbeam/078a77df-55b0-4824-8111-4d77ab0c96e1
ex:get-vectors-method
hasMethodbeam/078a77df-55b0-4824-8111-4d77ab0c96e1
ex:resize-method
usesDataTypebeam/078a77df-55b0-4824-8111-4d77ab0c96e1
ex:csr-matrix

References (1)

1 references
  1. ctx:claims/beam/078a77df-55b0-4824-8111-4d77ab0c96e1
    • full textbeam-chunk
      text/plain1 KBdoc:beam/078a77df-55b0-4824-8111-4d77ab0c96e1
      Show excerpt
      new_vectors[:self.capacity] = self.vectors self.vectors = new_vectors self.capacity = new_capacity # Example usage: vector_size = 3 vectorizer = SparseVectorizer(vector_size) vectorizer.add_vector(np.array([1, 0, 0]

See also

Keep researching

Missing something or suspicious of what's here? Kick off a research session — a Claude agent will investigate, cite its sources, and file new facts into a dedicated context you can review before accepting into the shared view.