Epsilon
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Epsilon has 25 facts recorded in Dontopedia across 2 references.
Mostly:value(1), parameter of(1), rdf:type(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (5)
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.
hasMemberHas Member(2)
- Model Training Parameters
ex:modelTrainingParameters - Parameter List
ex:parameterList
hasComponentHas Component(1)
- Adam Optimizer
ex:AdamOptimizer
hasEpsilonHas Epsilon(1)
- Adam Optimizer
ex:AdamOptimizer
isRelatedToIs Related to(1)
- Numerical Instability
ex:numericalInstability
Other facts (24)
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 |
|---|---|---|
| Value | 0.5 | [1] |
| Parameter of | Dbscan | [1] |
| Rdf:type | Hyperparameter | [2] |
| Has Description | Small constant added to the denominator to avoid division by zero. | [2] |
| Has Range | Typically 1e-8. | [2] |
| Has Strategy | Rarely adjusted unless you encounter numerical instability. | [2] |
| Has Typical Value | 1e-8 | [2] |
| Is Part of Parameter List | Model Training Parameters | [2] |
| Ordinal Position | 9 | [2] |
| Purpose | avoidDivisionByZero | [2] |
| Is Added to | Denominator | [2] |
| Is Documented in | Parameter Documentation | [2] |
| Is Type | smallConstant | [2] |
| Sequence Number | 9 | [2] |
| Adjustment Trigger | numericalInstability | [2] |
| Affects | Division Operation | [2] |
| Full Description | Small constant added to the denominator to avoid division by zero. | [2] |
| Range Specification | Typically 1e-8. | [2] |
| List Position | 9 | [2] |
| Optimizer Component of | Adam Optimizer | [2] |
| Code Name | eps | [2] |
| Display Name | Epsilon | [2] |
| Is Type of | Small Constant | [2] |
| Part of | Model Training Configuration | [2] |
Timeline
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References (2)
ctx:claims/beam/afc49b2f-f46d-4e0e-a361-636153087e4f- full textbeam-chunktext/plain1 KB
doc:beam/afc49b2f-f46d-4e0e-a361-636153087e4fShow excerpt
data, _ = make_blobs(n_samples=100, centers=5, n_features=5, random_state=0) # Feature scaling scaler = StandardScaler() data_scaled = scaler.fit_transform(data) # Function to evaluate clustering def evaluate_clustering(clustering, data):…
ctx:claims/beam/ce03c714-fade-4f52-a4b9-df7b5a64eee2
See also
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