max_normalize
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)
max_normalize is Normalize the embeddings using Max normalization.
Mostly:uses function(2), implementation detail(2), uses parameter(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.
relatedNormalizationTechniqueRelated Normalization Technique(2)
- L1 Normalize
ex:l1-normalize - L2 Normalize
ex:l2-normalize
containsContains(1)
- Code Block
ex:code-block
containsFunctionContains Function(1)
- Code Block
ex:code-block
hasMemberHas Member(1)
- All Normalization Functions
ex:all-normalization-functions
usedByUsed by(1)
- Embeddings
ex:embeddings
Other facts (18)
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 Max | [1] |
| Uses Function | Np Abs | [1] |
| Implementation Detail | max_vals = np.max(np.abs(embeddings), axis=1, keepdims=True) | [1] |
| Implementation Detail | normalized_embeddings = embeddings / max_vals | [1] |
| Uses Parameter | Axis Parameter | [1] |
| Uses Parameter | Keepdims Parameter | [1] |
| Rdf:type | Function | [1] |
| Has Parameter | Embeddings | [1] |
| Uses Library | Numpy | [1] |
| Max Calculation Axis | 1 | [1] |
| Max Keep Dimensions | true | [1] |
| Returns | Normalized Embeddings | [1] |
| Description | Normalize the embeddings using Max normalization | [1] |
| Related Normalization Technique | Clip Normalize | [1] |
| Normalization Type | Max Normalization | [1] |
| Uses Operation | Division Operation | [1] |
| Operation Order | 3 | [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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