n_jobs
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
n_jobs has 20 facts recorded in Dontopedia across 4 references, with 3 live disagreements.
Mostly:rdf:type(4), used in(2), applies to(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.
hasParameterHas Parameter(1)
- Parallel Ndcg Function
ex:parallel-ndcg-function
mechanismMechanism(1)
- Parallel Processing
ex:parallel-processing
usesMechanismUses Mechanism(1)
- Parallel Processing
ex:parallel-processing
utilizeUtilize(1)
- Many Estimators and Metrics
ex:many-estimators-and-metrics
Other facts (19)
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 |
|---|---|---|
| Rdf:type | Parameter | [1] |
| Rdf:type | Function Parameter | [2] |
| Rdf:type | Software Parameter | [3] |
| Rdf:type | Function Parameter | [4] |
| Used in | Estimators | [3] |
| Used in | Metrics Functions | [3] |
| Applies to | Estimators | [3] |
| Applies to | Metrics Functions | [3] |
| Value | -1 | [1] |
| Function | Joblib Parallel | [1] |
| Controls | All Cpu Cores | [1] |
| Instructs | Joblib Library | [1] |
| Enables | All Cpu Cores Utilization | [1] |
| Sets | Cpu Core Limit | [1] |
| Assigned Value | -1 | [2] |
| Scope | many-estimators-and-metrics | [3] |
| Syntax | backtick-enclosed | [3] |
| Has Default Parameter Value | 4 | [4] |
| Has Default | 4 | [4] |
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 (4)
ctx:claims/beam/0847c3fb-2167-45e0-baa8-dc4abfbfbe22ctx:claims/beam/df513ed5-3117-470a-8fde-59edabe3d24cctx:claims/beam/099cfeb8-4a06-4b23-ba71-28261f388092- full textbeam-chunktext/plain1 KB
doc:beam/099cfeb8-4a06-4b23-ba71-28261f388092Show excerpt
[Turn 9266] User: I'm working on the Scikit-learn integration and I want to use it for metrics computation. The documentation says it can compute metrics in 70ms for 5,000 test results. How can I optimize this further to reduce the computat…
ctx:claims/beam/8646eee4-4ab0-4930-9ef4-a2ac2945cb8f- full textbeam-chunktext/plain1 KB
doc:beam/8646eee4-4ab0-4930-9ef4-a2ac2945cb8fShow excerpt
[Turn 9295] Assistant: Certainly! To optimize the performance of your evaluation pipeline, you can leverage parallel processing to speed up the calculation of NDCG@5. The `joblib` library provides a convenient way to parallelize tasks in Py…
See also
Keep researching
Missing something or suspicious of what's here? Kick off a research session — a Claude agent will investigate, cite its sources, and file new facts into a dedicated context you can review before accepting into the shared view.