chronological split for rating prediction More...
Public Member Functions | |
| RatingsChronologicalSplit (ITimedRatings ratings, double ratio) | |
| Create a chronological split of rating prediction data More... | |
| RatingsChronologicalSplit (ITimedRatings ratings, DateTime split_time) | |
| Create a chronological split of rating prediction data More... | |
Properties | |
| uint | NumberOfFolds [get] |
| IList< ITimedRatings > | Test [get] |
| IList< ITimedRatings > | Train [get] |
Detailed Description
chronological split for rating prediction
Chronological splits (splits according to the time of the rating) treat all ratings before a certain time as training ratings, and the ones after that time as test/validation ratings. This kind of split is the most realistic kind of split, because in a real application you also can only use past data to make predictions for the future.
The dataset must not be modified after the split - this would lead to undefined behavior.
Constructor & Destructor Documentation
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inline |
Create a chronological split of rating prediction data
If ratings have exactly the same date and time, and they are close to the threshold between train and test, there is no guaranteed order between them (ties are broken according to how the sorting procedure sorts the ratings).
- Parameters
-
ratings the dataset ratio the ratio of ratings to use for validation
|
inline |
Create a chronological split of rating prediction data
- Parameters
-
ratings the dataset split_time the point in time to use for splitting the data set; everything from that point on will be used for validation
The documentation for this class was generated from the following file:
- RatingsChronologicalSplit.cs
