A data dictionary is the metadata that describes features of a data set. The NumericTableFeature and DataSourceFeature structures describe a particular feature within a dictionary of the associated numeric table and data source respectively. These structures specify:
- Whether the feature is continuous, categorical, or ordinal
- Underlying data types (double, integer, and so on) used to represent feature values
The DataSourceFeature structure also specifies:
- Possible values for a categorical feature
- The feature name
The DataSourceDictionary class is a data dictionary that describes raw data associated with the corresponding data source. The NumericTableDictionary class is a data dictionary that describes in-memory numeric data associated with the corresponding numeric table. Both classes provide generic methods for dictionary manipulation, such as accessing a particular data feature, setting and retrieving the number of features, and adding a new feature. Respective DataSource and NumericTable classes have generic dictionary manipulation methods, such as getDictionary() and setDictionary().
To create a dictionary from the data source context, you can do one of the following:
- Set the doDictionaryFromContext flag in the DataSource constructor.
- Call to the createDictionaryFromContext() method.