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In some settings it is useful to control scaling variables from outside of kknn. Unfortunately, when train.kknn is used with scale=FALSE, the corresponding predict method does not pass this parameter to kknn used inside predict.train.kknn, so predictions are still computed with default scaling. It seems, that a possible solution would be to add scale component to the value of train.kknn and use that component in predict.train.kknn
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The text was updated successfully, but these errors were encountered:
In some settings it is useful to control scaling variables from outside of kknn. Unfortunately, when train.kknn is used with scale=FALSE, the corresponding predict method does not pass this parameter to kknn used inside predict.train.kknn, so predictions are still computed with default scaling. It seems, that a possible solution would be to add scale component to the value of train.kknn and use that component in predict.train.kknn
Could this mistake be corrected?
The text was updated successfully, but these errors were encountered: