Parallel Ndcg
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
Parallel Ndcg has 34 facts recorded in Dontopedia across 1 reference, with 4 live disagreements.
34 facts·28 predicates·1 sources·4 in dispute
Mostly:has parameter(4), parameter default(2), passes indexed data(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (4)
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.
callsFunctionCalls Function(1)
- Example Usage
ex:example-usage
definesFunctionDefines Function(1)
- Python Code Block
ex:python-code-block
demonstratesFunctionCallDemonstrates Function Call(1)
- Example Usage
ex:example-usage
isHelperFunctionForIs Helper Function for(1)
- Calculate Ndcg
ex:calculate-ndcg
Other facts (34)
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.
34 facts
| Predicate | Value | Ref |
|---|---|---|
| Has Parameter | Predictions | [1] |
| Has Parameter | Labels | [1] |
| Has Parameter | K | [1] |
| Has Parameter | N Jobs | [1] |
| Parameter Default | 5 | [1] |
| Parameter Default | 4 | [1] |
| Passes Indexed Data | Predictions I | [1] |
| Passes Indexed Data | Labels I | [1] |
| Uses Joblib Pattern | Parallel Delayed | [1] |
| Uses Joblib Pattern | Parallel With Delayed | [1] |
| Rdf:type | Python Function | [1] |
| Uses Library | Joblib | [1] |
| Calls Function | Calculate Ndcg | [1] |
| Returns Value | Results List | [1] |
| Implements Parallelization | Joblib Parallel | [1] |
| Enables Parallel Processing | true | [1] |
| Specifies Job Count | 4 | [1] |
| Uses List Comprehension | true | [1] |
| Iterates Over | Predictions Index | [1] |
| Collects Results | Results List | [1] |
| Returns List | true | [1] |
| Configures Concurrency | N Jobs Parameter | [1] |
| Has Return Type | List | [1] |
| Creates Parallel Workers | N Jobs | [1] |
| Orchestrates | Calculate Ndcg Calls | [1] |
| Uses Indexing | I | [1] |
| Depends on | Calculate Ndcg | [1] |
| Assumes | Same Length Arrays | [1] |
| Enforces | K Parameter Propagation | [1] |
| Returns Collection | List of Scores | [1] |
| Assumes Same Length Inputs | true | [1] |
| Propagates K Parameter | K | [1] |
| Has No Validation | true | [1] |
| Iterates by Index | I | [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.
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typebeam/1d06e337-06e8-4a9f-a131-efaab12cd217
ex:PythonFunction
—
hasParameterbeam/1d06e337-06e8-4a9f-a131-efaab12cd217
ex:predictions
—
hasParameterbeam/1d06e337-06e8-4a9f-a131-efaab12cd217
ex:labels
—
hasParameterbeam/1d06e337-06e8-4a9f-a131-efaab12cd217
ex:k
—
hasParameterbeam/1d06e337-06e8-4a9f-a131-efaab12cd217
ex:n_jobs
—
parameterDefaultbeam/1d06e337-06e8-4a9f-a131-efaab12cd217
5
—
parameterDefaultbeam/1d06e337-06e8-4a9f-a131-efaab12cd217
4
—
usesLibrarybeam/1d06e337-06e8-4a9f-a131-efaab12cd217
ex:joblib
—
callsFunctionbeam/1d06e337-06e8-4a9f-a131-efaab12cd217
ex:calculate-ndcg
—
returnsValuebeam/1d06e337-06e8-4a9f-a131-efaab12cd217
ex:results-list
—
implementsParallelizationbeam/1d06e337-06e8-4a9f-a131-efaab12cd217
ex:joblib-parallel
—
enablesParallelProcessingbeam/1d06e337-06e8-4a9f-a131-efaab12cd217
true
—
specifiesJobCountbeam/1d06e337-06e8-4a9f-a131-efaab12cd217
4
—
usesListComprehensionbeam/1d06e337-06e8-4a9f-a131-efaab12cd217
true
—
iteratesOverbeam/1d06e337-06e8-4a9f-a131-efaab12cd217
ex:predictions-index
—
passesIndexedDatabeam/1d06e337-06e8-4a9f-a131-efaab12cd217
ex:predictions-i
—
passesIndexedDatabeam/1d06e337-06e8-4a9f-a131-efaab12cd217
ex:labels-i
—
collectsResultsbeam/1d06e337-06e8-4a9f-a131-efaab12cd217
ex:results-list
—
returnsListbeam/1d06e337-06e8-4a9f-a131-efaab12cd217
true
—
configuresConcurrencybeam/1d06e337-06e8-4a9f-a131-efaab12cd217
ex:n_jobs-parameter
—
hasReturnTypebeam/1d06e337-06e8-4a9f-a131-efaab12cd217
ex:list
—
createsParallelWorkersbeam/1d06e337-06e8-4a9f-a131-efaab12cd217
ex:n_jobs
—
orchestratesbeam/1d06e337-06e8-4a9f-a131-efaab12cd217
ex:calculate-ndcg-calls
—
usesIndexingbeam/1d06e337-06e8-4a9f-a131-efaab12cd217
ex:i
—
dependsOnbeam/1d06e337-06e8-4a9f-a131-efaab12cd217
ex:calculate-ndcg
—
assumesbeam/1d06e337-06e8-4a9f-a131-efaab12cd217
ex:same-length-arrays
—
enforcesbeam/1d06e337-06e8-4a9f-a131-efaab12cd217
ex:k-parameter-propagation
—
usesJoblibPatternbeam/1d06e337-06e8-4a9f-a131-efaab12cd217
ex:Parallel-delayed
—
returnsCollectionbeam/1d06e337-06e8-4a9f-a131-efaab12cd217
ex:list-of-scores
—
assumesSameLengthInputsbeam/1d06e337-06e8-4a9f-a131-efaab12cd217
true
—
propagatesKParameterbeam/1d06e337-06e8-4a9f-a131-efaab12cd217
ex:k
—
hasNoValidationbeam/1d06e337-06e8-4a9f-a131-efaab12cd217
true
—
usesJoblibPatternbeam/1d06e337-06e8-4a9f-a131-efaab12cd217
ex:Parallel-with-delayed
—
iteratesByIndexbeam/1d06e337-06e8-4a9f-a131-efaab12cd217
ex:i
References (1)
1 references
ctx:claims/beam/1d06e337-06e8-4a9f-a131-efaab12cd217- full textbeam-chunktext/plain902 B
doc:beam/1d06e337-06e8-4a9f-a131-efaab12cd217Show excerpt
[Turn 9294] User: I'm trying to optimize the performance of my evaluation pipeline by reducing the latency of my metric calculations. I've noticed that the NDCG@5 calculation is taking a significant amount of time. Can you help me implement…
See also
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