Log Performance Function
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
Log Performance Function has 9 facts recorded in Dontopedia across 2 references, with 1 live disagreement.
Mostly:rdf:type(2), purpose(1), output(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (4)
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)
- Tracking Performance Section
ex:tracking-performance-section
hasTwoParametersHas Two Parameters(1)
- Function Signature
ex:function-signature
precedesPrecedes(1)
- Evaluate Model Function
ex:evaluate-model-function
referencesReferences(1)
- Log Performance Bullet
ex:log-performance-bullet
Other facts (9)
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] |
| Rdf:type | Function | [2] |
| Purpose | Logging Model Accuracy | [1] |
| Output | Console | [1] |
| Tracks | Accuracy Per Iteration | [1] |
| Input | Accuracy Data | [1] |
| Has Name | log_performance | [2] |
| Has Parameter | iteration | [2] |
| Has Return Type | none | [2] |
Timeline
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References (2)
ctx:claims/beam/465a30f0-6e8e-4103-80cc-63ac3aec4d3b- full textbeam-chunktext/plain1 KB
doc:beam/465a30f0-6e8e-4103-80cc-63ac3aec4d3bShow excerpt
- Logs the accuracy for each iteration and prints it to the console. ### Tracking Performance Over Time To track the performance of the model over time, you can: - **Log Performance Metrics**: Use the `log_performance` function to log…
ctx:claims/beam/28d34bc8-0c0d-4b85-aae9-2f70febdb3e1- full textbeam-chunktext/plain1 KB
doc:beam/28d34bc8-0c0d-4b85-aae9-2f70febdb3e1Show excerpt
```python import numpy as np from sklearn.metrics import accuracy_score from sklearn.ensemble import RandomForestClassifier from sklearn.model_selection import train_test_split import redis import logging # Set up logging configuration log…
See also
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