Dontopedia

Float

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)

Float has 1 fact recorded in Dontopedia across 1 reference.

1 facts·1 predicates·1 sources
Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (150)

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(123)

hasTypeHas Type(6)

elementTypeElement Type(3)

elementTypesElement Types(2)

attributeTypeAttribute Type(1)

dataCategoryData Category(1)

dataFormatData Format(1)

dataTypeData Type(1)

ex:hasConfidenceEx:has Confidence(1)

expectedTypeExpected Type(1)

hasDataTypeHas Data Type(1)

hasElementTypeHas Element Type(1)

hasValueTypeHas Value Type(1)

importedItemImported Item(1)

importsImports(1)

keyTypeKey Type(1)

parameterTypeParameter Type(1)

returnsTypeReturns Type(1)

secondReturnTypeSecond Return Type(1)

valueTypeValue Type(1)

Other facts (1)

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.

1 facts
PredicateValueRef
Rdf:typeData Type[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/1680fd31-ef75-4b8f-b41d-f9807171b358
ex:DataType

References (1)

1 references
  1. ctx:claims/beam/1680fd31-ef75-4b8f-b41d-f9807171b358
    • full textbeam-chunk
      text/plain1 KBdoc:beam/1680fd31-ef75-4b8f-b41d-f9807171b358
      Show excerpt
      grid_search.fit(X_train_tfidf, y_train) # Best model best_model = grid_search.best_estimator_ # Make predictions predictions = best_model.predict(X_test_tfidf) # Calculate the recall score recall = recall_score(y_test, predictions) print

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