Dontopedia

Predictions1

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

Predictions1 has 8 facts recorded in Dontopedia across 2 references, with 1 live disagreement.

8 facts·6 predicates·2 sources·1 in dispute

Mostly:rdf:type(3), computed by(1), computed from(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (6)

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.

producesProduces(2)

computedFromComputed From(1)

consists-ofConsists of(1)

containsPredictionCalculationContains Prediction Calculation(1)

has-predictionsHas Predictions(1)

Other facts (8)

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.

8 facts
PredicateValueRef
Rdf:typeNumpy Array[1]
Rdf:typeVariable[2]
Rdf:typePredictions[2]
Computed byNp.argmax[2]
Computed FromScores1[2]
Used byCalculate Accuracy[2]
Derived FromScores1[2]
Are IndicesIndices[2]

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/34ffcd35-801a-4acf-b1f5-659bb6c98a27
ex:NumpyArray
typebeam/589987e0-d7a7-43a1-8209-a674b2085e34
ex:Variable
typebeam/589987e0-d7a7-43a1-8209-a674b2085e34
ex:Predictions
computedBybeam/589987e0-d7a7-43a1-8209-a674b2085e34
ex:np.argmax
computedFrombeam/589987e0-d7a7-43a1-8209-a674b2085e34
ex:scores1
used-bybeam/589987e0-d7a7-43a1-8209-a674b2085e34
ex:calculate_accuracy
derived-frombeam/589987e0-d7a7-43a1-8209-a674b2085e34
ex:scores1
are-indicesbeam/589987e0-d7a7-43a1-8209-a674b2085e34
ex:indices

References (2)

2 references
  1. ctx:claims/beam/34ffcd35-801a-4acf-b1f5-659bb6c98a27
    • full textbeam-chunk
      text/plain1 KBdoc:beam/34ffcd35-801a-4acf-b1f5-659bb6c98a27
      Show excerpt
      def update_weights(engine1_accuracy, engine2_accuracy): total_accuracy = engine1_accuracy + engine2_accuracy if total_accuracy == 0: return (0.5, 0.5) # Default equal weights if both accuracies are zero new_weights = (e
  2. ctx:claims/beam/589987e0-d7a7-43a1-8209-a674b2085e34
    • full textbeam-chunk
      text/plain1 KBdoc:beam/589987e0-d7a7-43a1-8209-a674b2085e34
      Show excerpt
      # Compute ensemble scores ensemble_scores = compute_weighted_ensemble_scores(scores1, scores2, weights=weights) print("Current Ensemble Scores:", ensemble_scores) # Calculate predictions predictions1 = np.argmax(scores1

See also

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