calculate_term_frequencies
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
calculate_term_frequencies has 37 facts recorded in Dontopedia across 2 references, with 7 live disagreements.
Mostly:contains(4), rdf:type(2), has parameter(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (9)
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.
authorOfAuthor of(1)
- User
ex:user
callsFunctionCalls Function(1)
- Cprofile Run
ex:cprofile-run
containsContains(1)
- Code Snippet Term Frequencies
ex:code-snippet-term-frequencies
demonstratesDemonstrates(1)
- Example Usage
ex:example-usage
executesExecutes(1)
- User
ex:user
importedByImported by(1)
- Numpy
ex:numpy
invokesInvokes(1)
- Cprofile Run
ex:cprofile-run
usesUses(1)
- User
ex:user
validatesValidates(1)
- Cprofile Run
ex:cprofile-run
Other facts (36)
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 |
|---|---|---|
| Contains | Conditional Check | [1] |
| Contains | Dictionary Initialization | [1] |
| Contains | Assignment Statement | [1] |
| Contains | Increment Statement | [1] |
| Rdf:type | Function | [1] |
| Rdf:type | Function | [2] |
| Has Parameter | Documents | [1] |
| Has Parameter | All Terms | [2] |
| Returns | Term Frequencies | [1] |
| Returns | Term Frequencies | [2] |
| Has Loop | Document Loop | [1] |
| Has Loop | Term Loop | [1] |
| Performs | Dictionary Check | [1] |
| Performs | Dictionary Increment | [1] |
| Algorithm | incremental-counting | [1] |
| Algorithm | Counter-based frequency counting | [2] |
| Called by | User | [1] |
| Called by | Cprofile Run | [2] |
| Imports | Numpy | [1] |
| Initializes | Term Frequencies Dictionary | [1] |
| Has Purpose | Term Frequency Calculation | [1] |
| Used by | User | [1] |
| Has Complexity | O N Squared | [1] |
| Implements | Bag of Words Model | [1] |
| Returns to | Term Frequencies Variable | [1] |
| Has Return Statement | Return Term Frequencies | [1] |
| Has Signature | Function Signature | [1] |
| Scope | Global Scope | [1] |
| Iteration Order | Document Then Term | [1] |
| Language | python | [1] |
| Algorithm Type | naive-counting | [1] |
| Optimization Target | Reduce Dictionary Operations | [1] |
| Import Dependency | Numpy | [1] |
| Optimized by | Counter data structure | [2] |
| Optimization | avoids dictionary operation overhead | [2] |
| Addresses | term frequency calculation problem | [2] |
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 (2)
ctx:claims/beam/2e6c4965-e243-4c73-bf56-0e0c2bd6daa3- full textbeam-chunktext/plain1 KB
doc:beam/2e6c4965-e243-4c73-bf56-0e0c2bd6daa3Show excerpt
[Turn 8666] User: I've been digging into the bottlenecks of my sparse training code, and I've found that term frequency miscalculations are delaying 14% of the 6,000 training cycles by 350ms, I'm using the following code to calculate the te…
ctx:claims/beam/eabb3e09-011d-40ed-912d-4eb9d1d27f37
See also
- Function
- Documents
- Term Frequencies
- Numpy
- Term Frequencies Dictionary
- Document Loop
- Term Loop
- Dictionary Check
- Dictionary Increment
- Term Frequency Calculation
- User
- O N Squared
- Conditional Check
- Bag of Words Model
- Dictionary Initialization
- Term Frequencies Variable
- Return Term Frequencies
- Function Signature
- Global Scope
- Document Then Term
- Reduce Dictionary Operations
- Assignment Statement
- Increment Statement
- All Terms
- Cprofile Run
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