Meta Parameter
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
Meta Parameter has 4 facts recorded in Dontopedia across 1 reference, with 1 live disagreement.
4 facts·3 predicates·1 sources·1 in dispute
Maturity scale
raw canonical shape-checked rule-derived certifiedOther facts (4)
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.
4 facts
| Predicate | Value | Ref |
|---|---|---|
| Specifies | Column Name | [1] |
| Specifies | Data Type | [1] |
| Rdf:type | Dask Meta | [1] |
| Specifies Return Type | Object Type | [1] |
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.
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typebeam/97b0f578-1a3d-4330-a3c6-751ff8fef12c
ex:DaskMeta
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specifiesbeam/97b0f578-1a3d-4330-a3c6-751ff8fef12c
ex:column-name
—
specifiesbeam/97b0f578-1a3d-4330-a3c6-751ff8fef12c
ex:data-type
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specifiesReturnTypebeam/97b0f578-1a3d-4330-a3c6-751ff8fef12c
ex:object-type
References (1)
1 references
ctx:claims/beam/97b0f578-1a3d-4330-a3c6-751ff8fef12c- full textbeam-chunktext/plain1 KB
doc:beam/97b0f578-1a3d-4330-a3c6-751ff8fef12cShow excerpt
Here's an example implementation using Pandas and spaCy for efficient tokenization of large datasets: ```python import spacy import pandas as pd from concurrent.futures import ProcessPoolExecutor import time # Load spaCy model nlp = spacy…
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