Sklearn Neighbors
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
Sklearn Neighbors has 5 facts recorded in Dontopedia across 2 references, with 1 live disagreement.
Mostly:rdf:type(2), provides(1), rdfs:label(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedRdf:typein disputerdf:type
- Module[1]all time · Abb758df 23da 408b 81ce 541878733128
- Python Module[2]all time · 1a9575d4 0f05 41b2 A8bf 3a9f1dd9dcb9
Providesprovides
- K Neighbors Classifier[2]all time · 1a9575d4 0f05 41b2 A8bf 3a9f1dd9dcb9
Rdfs:labelrdfs:label
- sklearn.neighbors[2]all time · 1a9575d4 0f05 41b2 A8bf 3a9f1dd9dcb9
Containscontains
- Nearest Neighbors Class[1]sourceall time · Abb758df 23da 408b 81ce 541878733128
Inbound 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.
containsImportContains Import(1)
- Updated Code
ex:updated-code
importsImports(1)
- Python Code Example
ex:python-code-example
importsFromImports From(1)
- K Neighbors Classifier
ex:KNeighborsClassifier
requiresRequires(1)
- Grid Search
ex:grid-search
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 (2)
- custom
ctx:claims/beam/abb758df-23da-408b-81ce-541878733128- full textbeam-chunktext/plain1 KB
doc:beam/abb758df-23da-408b-81ce-541878733128Show excerpt
[Turn 1950] User: I'm trying to implement an efficient vector search using ANN algorithms, and I've come across a few benefits that I'd like to discuss - like reducing the number of distance calculations, which can significantly speed up th…
- custom
ctx:claims/beam/1a9575d4-0f05-41b2-a8bf-3a9f1dd9dcb9- full textbeam-chunktext/plain1 KB
doc:beam/1a9575d4-0f05-41b2-a8bf-3a9f1dd9dcb9Show excerpt
- **Description**: Coefficient for L2 norm of the weights. - **Range**: Typically between \(10^{-6}\) and \(10^{-2}\). - **Example Values**: \(1e-6\), \(1e-5\), \(1e-4\), \(1e-3\), \(1e-2\). - **Dropout Rate** - **De…
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.