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Description
As currently defined, OML has a number of related things that are not defined the same:
oml:Feature: incominghasFeature, targetFeature; attributesname, type, description`oml:PredictionFeature: incoming hasPredictionFeature; attributesname, typeoml:defaultTargetAttribute: comma-separated string don't use comma-separated multiple values #13oml:ignoreAttribute: stringsoml:rowIDAttribute: string
Questions:
- Is it Attribute or Feature?
- Why
PredictionFeaturecannot have adescription? - Isn't
PredictionFeaturea subset ofFeatureso shouldn't there be some link between them?
And I have a more in-depth question:
- All these are assumed to be columns in a dataset (I assume
namerefers to a column) - But a dataset may include multiple CSVs; if the same col name is used in several tables, how do you distinguish it?
- Shouldn't you link up to
CSVWfor a more formal description of CSV columns? Eg it has a lot more specific description of col types than your "feature type" codelist - Furthermore, some datasets are not tabular. Eg can OML describe ML over semantic datasets?
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