Revision 7870cc17bf76171231882a590f4dcf3afab5a1fa authored by Francisco Martinez on 04 June 2020, 07:40:03 UTC, committed by cran-robot on 04 June 2020, 07:40:03 UTC
1 parent 1334e82
NEWS.md
## tsfknn 0.4
* Using Rcpp for faster computation of nearest neighbors
## tsfknn 0.3.1
* Fix calculation of rolling origin prediction with recursive strategy
## tsfknn 0.3.0
* Now it is possible to assess the model using rolling origin evaluation
* A predict method has been added to generate new forecasts based on a
previously built model
## tsfknn 0.2.0
* summary and print.summary methods are added for "knnForecast" objects
* String parameters are processed with math.arg
* Fix calculation of how many KNN examples has the model in knn_forecasting
* Weighted combination of the targets of nearest neighbors is implemented
* A function that computes the number of training instances that would have
a model has been added
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