retry_evaluation
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
retry_evaluation is Retry the evaluation function with exponential backoff.
Mostly:parameter(4), has parameter(4), default parameter value(3)
Maturity scale
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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.
isParameterOfIs Parameter of(4)
- Evaluation Function Parameter
ex:evaluation_function-parameter - Parameter Allowed Exceptions
ex:parameter-allowed-exceptions - Parameter Backoff Factor
ex:parameter-backoff-factor - Parameter Max Retries
ex:parameter-max-retries
describesDescribes(2)
- Assistant Response
ex:assistant-response - Function Description Section
ex:function-description-section
holdsValueOfHolds Value of(1)
- Result Variable
ex:result-variable
requiresImplementationRequires Implementation(1)
- Design Retry Function
ex:design-retry-function
suggestsSuggests(1)
- Assistant Response
ex:assistant-response
Other facts (22)
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 |
|---|---|---|
| Parameter | evaluation_function | [1] |
| Parameter | max_retries | [1] |
| Parameter | backoff_factor | [1] |
| Parameter | allowed_exceptions | [1] |
| Has Parameter | Parameter Max Retries | [1] |
| Has Parameter | Parameter Backoff Factor | [1] |
| Has Parameter | Parameter Allowed Exceptions | [1] |
| Has Parameter | Parameter Evaluation Function | [1] |
| Default Parameter Value | 3 | [1] |
| Default Parameter Value | 0.5 | [1] |
| Default Parameter Value | Exception | [1] |
| Rdf:type | Python Function | [1] |
| Rdf:type | Function | [2] |
| Has Docstring | Retry the evaluation function with exponential backoff | [1] |
| Has Docstring | Docstring Content | [1] |
| Description | Retry the evaluation function with exponential backoff | [1] |
| Uses | exponential backoff | [1] |
| Wraps | Evaluation Function | [1] |
| Retries on | Allowed Exceptions | [1] |
| Is Refinement of | User Original Function | [1] |
| Provides | Robustness Improvement | [1] |
| Handles | Transient Errors | [1] |
Timeline
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References (2)
ctx:claims/beam/26a2cbbb-1fdb-421c-953a-953deaf16b0f- full textbeam-chunktext/plain1 KB
doc:beam/26a2cbbb-1fdb-421c-953a-953deaf16b0fShow excerpt
raise Exception('Evaluation failed') # Example usage: def example_evaluation(): if random.random() < 0.05: raise Exception('MetricCalcError') return 'Evaluation successful' result = retry_evaluation(example_evaluation)…
ctx:claims/beam/c283ddcf-9f8d-4ec7-9d61-d2da29ccf741- full textbeam-chunktext/plain1 KB
doc:beam/c283ddcf-9f8d-4ec7-9d61-d2da29ccf741Show excerpt
- The `average_precision_score` function from `sklearn.metrics` calculates MAP. Note that the `k` parameter is used to specify the top k items to consider. - The `visualize_correlation` function plots the correlation between NDCG@5 and MAP@…
See also
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