Mahout uses concept of data model to represent the data on which we are doing analysis.
Datamodel Implementations represent a repository of information about users and their associated Preferences for items.
The class diagram below tries to explain more
Refreshable Interface : Implementations of this interface have state that can be periodically refreshed. For example, an implementation instance might contain some pre-computed information that should be periodically refreshed. The refresh(Collection) method triggers such a refresh.
AbstractDataModel : Contains some features common to all implementations.
FileDataModel : A DataModel backed by a delimited file. This class expects a file where each line contains a user ID, followed by item ID, followed by optional preference value, followed by optional timestamp. Commas or tabs delimit fields:
e.g Code
DataModel model = new FileDataModel(new File(
"src/main/java/com/jugnu.mahout.LearnDatamodel/intro.csv"));
We declare a new datamodel of file type and give the path of file which has data to be analyzed
