load_iris
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
load_iris has 7 facts recorded in Dontopedia across 2 references.
Mostly:rdf:type(1), located in(1), returns(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (2)
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.
containsContains(1)
- Sklearn Datasets Module
ex:sklearn-datasets-module
inverse-ofInverse of(1)
- Sklearn Datasets Module
ex:sklearn-datasets-module
Other facts (6)
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 | Function | [1] |
| Located in | Sklearn Datasets Module | [1] |
| Returns | Iris Dataset | [1] |
| Module Location | sklearn.datasets | [1] |
| Full Name | sklearn.datasets.load_iris | [1] |
| Origin | Sklearn Datasets Package | [2] |
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References (2)
ctx:claims/beam/16a732b3-3e07-4ba8-a721-14e165b54a5ectx:claims/beam/2372b8a2-d174-4706-8cb6-61a0fe66ec16- full textbeam-chunktext/plain1 KB
doc:beam/2372b8a2-d174-4706-8cb6-61a0fe66ec16Show excerpt
Choose algorithms that are known to be more memory-efficient. For example, decision trees and random forests are generally more memory-efficient than neural networks. ### 6. Garbage Collection Force garbage collection to free up memory whe…
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