update_weights
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
update_weights has 20 facts recorded in Dontopedia across 3 references, with 6 live disagreements.
Mostly:has parameter(4), rdf:type(3), returns(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (8)
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.
usedInUsed in(2)
- Engine1 Accuracy Variable
ex:engine1-accuracy-variable - Engine2 Accuracy Variable
ex:engine2-accuracy-variable
containsContains(1)
- Code Snippet
ex:code-snippet
containsComponentContains Component(1)
- Ensemble Learning System
ex:ensemble-learning-system
demonstratesFunctionDemonstrates Function(1)
- Code Example
ex:code-example
hasFunctionHas Function(1)
- Code Structure
ex:code-structure
mentionsMentions(1)
- Example Code
ex:example-code
resultOfResult of(1)
- New Weights
ex:new-weights
Other facts (18)
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.
| Predicate | Value | Ref |
|---|---|---|
| Has Parameter | Engine1 Accuracy Parameter | [2] |
| Has Parameter | Engine2 Accuracy Parameter | [2] |
| Has Parameter | Engine1 Accuracy | [3] |
| Has Parameter | Engine2 Accuracy | [3] |
| Rdf:type | Function | [1] |
| Rdf:type | Function | [2] |
| Rdf:type | Function | [3] |
| Returns | Tuple of Weights | [2] |
| Returns | New Weights | [3] |
| Contains Logic | Total Accuracy Calculation | [2] |
| Contains Logic | New Weights Calculation | [2] |
| Implements | Weight Optimization | [2] |
| Implements | Weight Adjustment Process | [2] |
| Is Part of | Example Code | [1] |
| Is Defined | false | [1] |
| Is Incomplete | true | [1] |
| Is Not Implemented | true | [1] |
| Has Conditional Branch | Zero Accuracy Check | [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.
References (3)
ctx:claims/beam/cfaeceec-0bb8-418e-b19c-694784b98555- full textbeam-chunktext/plain1 KB
doc:beam/cfaeceec-0bb8-418e-b19c-694784b98555Show excerpt
Let's assume you have two retrieval engines, `engine1` and `engine2`, and you want to dynamically adjust their weights based on their performance metrics. #### Step 1: Collect Performance Metrics You can collect performance metrics by com…
ctx:claims/beam/34ffcd35-801a-4acf-b1f5-659bb6c98a27- full textbeam-chunktext/plain1 KB
doc:beam/34ffcd35-801a-4acf-b1f5-659bb6c98a27Show 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…
ctx:claims/beam/12bcf927-76eb-4b53-96b5-c31748201d41- full textbeam-chunktext/plain1 KB
doc:beam/12bcf927-76eb-4b53-96b5-c31748201d41Show excerpt
new_weights = update_weights(engine1_accuracy, engine2_accuracy) print("Updated Weights:", new_weights) # Recompute ensemble scores with updated weights ensemble_scores = compute_weighted_ensemble_scores(scores1, scores2, weights=new_weigh…
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