complexity_scorer
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
complexity_scorer has 9 facts recorded in Dontopedia across 3 references, with 1 live disagreement.
Mostly:rdf:type(3), has method(1), has attribute(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (3)
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.
fedToFed to(1)
- Batch Inputs
ex:batch-inputs
roleInTeamRole in Team(1)
- John
ex:john
teamRoleTeam Role(1)
- John
ex:john
Other facts (8)
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 | Scorer | [1] |
| Rdf:type | Py Torch Module | [2] |
| Rdf:type | Neural Network Model | [3] |
| Has Method | Score | [1] |
| Has Attribute | Scores | [1] |
| Used for | Evaluation | [1] |
| Has Parameters | true | [2] |
| Receives | Batch Inputs | [3] |
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 (3)
ctx:claims/beam/f54bef6c-8fc0-483e-bd86-e318e44c14f4ctx:claims/beam/f6bdd424-985a-4eea-a1d8-a4f7ec22cc5b- full textbeam-chunktext/plain1 KB
doc:beam/f6bdd424-985a-4eea-a1d8-a4f7ec22cc5bShow excerpt
def forward(self, x): x = torch.relu(self.fc1(x)) x = self.fc2(x) return x # Initialize scorer, optimizer, and loss function scorer = ComplexityScorer() optimizer = optim.Adam(scorer.parameters(), lr=1e-5) loss_…
ctx:claims/beam/815302c1-8846-46c0-b5a2-8475c92165b2- full textbeam-chunktext/plain1 KB
doc:beam/815302c1-8846-46c0-b5a2-8475c92165b2Show excerpt
optimizer.step() # Zero gradients optimizer.zero_grad() # Validation loop scorer.eval() val_losses = [] with torch.no_grad(): for batch_inputs, batch_targets in val_loader: outpu…
See also
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