DART package¶
Attribute configuration¶
Hypervector Sets¶
Dataset¶
Parameters¶
- class DART.parameters.Parameters(**kwargs)¶
Manages package-wide parameters.
- Parameters:
**kwargs – Specified parameter values. Default values will be used for any parameter not specified.
Notes
parametersis a global version ofParameterswith all default values.
Comparison Outputs¶
- class DART.comparison.Comparison(criteria1: dict, criteria2: dict, ignore_inherent: bool)¶
Helps organize complex comparison outputs. The actual comparison process is part of
Dataset.- Parameters:
criteria1 (dict) – Criteria describing the two defined groups being compared.
criteria2 (dict) – Criteria describing the two defined groups being compared.
ignore_inherent (bool) – The ignore_inherent setting passed to
Dataset.compare().
- export(orient: Literal['minimal', 'maximal', 'tabular'] = 'minimal', include_empty: bool = False) dict | list¶
Exports the comparison information to a dictionary or a list (depending on the value of orient).
- Parameters:
orient ({"minimal","maximal", "tabular"}) – Format of how the information should be saved. “minimal” avoids repeating information that applies to multiple
ComparisonItemobjects. “maximal” repeats information, producing a more reader-friendly output. “tabular” similar to “maximal”, but doesn’t includeComparison-wide information (such as the original two criteria) and formats lists into strings.include_empty (bool, default = False) – If False,
ComparisonItemobjects with no similarity values will be excluded.