recommendations(fromUsers:maxCount:restrictingToItems:excluding:excludingObserved:)
Retrieves the highest scored item for the given array of users, based on item similarity and the rating column.
Declaration
func recommendations(fromUsers: [any MLIdentifier], maxCount: Int = 10, restrictingToItems: [any MLIdentifier]? = nil, excluding userItemObservations: MLDataTable? = nil, excludingObserved: Bool = true) throws -> MLDataTableParameters
- fromUsers:
An array of user identifiers.
- maxCount:
The maximum number of recommendations per user. The default is
10. - restrictingToItems:
An array of item identifiers that defines the only values the recommender can use this set of recommendations. By default, the parameter is
nil, meaning there are no restrictions. - userItemObservations:
A data table of user-item observations to exclude from recommendations. The default is
nil, meaning no observations are excluded. The column names for the user identifiers and item identifiers must be the same as those provided in the training data. - excludingObserved:
Set this value to
trueto omit training data from the recommendations, orfalseto include them. The default istrue.
Return Value
An MLDataTable containing columns with user identifiers, item identifiers, scores and ranks (numbered between 1 and the maxCount).