predict.KDSN: Predict kernel deep stacking networks
In kernDeepStackNet: Kernel Deep Stacking Networks

Description Usage Arguments Details Value Author(s) See Also

Predicts new data with a given kernel deep stacking network. All levels are applied successively with fixed weights to reproduce results.

1 2	## S3 method for class 'KDSN' predict(object, newx, ...)

`object`	Object of class `KDSN`. This object is generated with the function `fitKDSN`.
`newx`	New data design matrix, for which predictions are needed.
`...`	Further arguments to `predict` function.

The data is put through all specified layers of the kernel deep stacking network. The weights are not random, but fixed at the values generated by the fitting process. Examples are given in the help page of fitKDSN.

Numeric vector of predicted values of each observation.

Thomas Welchowski welchow@imbie.meb.uni-bonn.de

fitKDSN, fitEnsembleKDSN

kernDeepStackNet documentation built on May 2, 2019, 8:16 a.m.