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Loss Function Explanation

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Loss Function Explanation has 2 facts recorded in Dontopedia across 1 reference.

2 facts·2 predicates·1 sources
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2 facts
PredicateValueRef
Rdf:typeExplanation Point[1]
DescribesLoss Function[1]

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typebeam/3c399a7b-cdb0-4ea1-9eb4-12f84952a5d3
ex:ExplanationPoint
describesbeam/3c399a7b-cdb0-4ea1-9eb4-12f84952a5d3
ex:loss-function

References (1)

1 references
  1. ctx:claims/beam/3c399a7b-cdb0-4ea1-9eb4-12f84952a5d3
    • full textbeam-chunk
      text/plain1 KBdoc:beam/3c399a7b-cdb0-4ea1-9eb4-12f84952a5d3
      Show excerpt
      # Calculate the weighted sum of the queries weighted_sum = np.sum([weight * query for weight, query in zip(weights, queries)], axis=0) return weighted_sum def loss_function(weights, queries, true_values): # Calculate the we

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