l1_normalize
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)
l1_normalize is Normalize the embeddings using L1 normalization.
Mostly:uses function(2), related normalization technique(2), implementation detail(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (6)
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(2)
- Code Block
ex:code-block - Example Usage
ex:example-usage
containsFunctionContains Function(1)
- Code Block
ex:code-block
hasMemberHas Member(1)
- All Normalization Functions
ex:all-normalization-functions
relatedNormalizationTechniqueRelated Normalization Technique(1)
- L2 Normalize
ex:l2-normalize
usedByUsed by(1)
- Embeddings
ex:embeddings
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 |
|---|---|---|
| Uses Function | Np Sum | [1] |
| Uses Function | Np Abs | [1] |
| Related Normalization Technique | Max Normalize | [1] |
| Related Normalization Technique | Clip Normalize | [1] |
| Implementation Detail | sums = np.sum(np.abs(embeddings), axis=1, keepdims=True) | [1] |
| Implementation Detail | normalized_embeddings = embeddings / sums | [1] |
| Uses Parameter | Axis Parameter | [1] |
| Uses Parameter | Keepdims Parameter | [1] |
| Rdf:type | Function | [1] |
| Has Parameter | Embeddings | [1] |
| Uses Library | Numpy | [1] |
| Sum Calculation Axis | 1 | [1] |
| Sum Keep Dimensions | true | [1] |
| Returns | Normalized Embeddings | [1] |
| Description | Normalize the embeddings using L1 normalization | [1] |
| Normalization Type | L1 Normalization | [1] |
| Uses Operation | Division Operation | [1] |
| Operation Order | 2 | [1] |
| Has Optional Parameters | false | [1] |
Timeline
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References (1)
ctx:claims/beam/92a95877-3ba8-48c1-86f2-e8a0865392f0
See also
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