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whiten whitens the data.
DESCRIPTION
Whitening of data through a whitening matrix W. Input data will be
standardized automatically.
EXAMPLE
X = rand(10,200);
m = dml.whiten('indim',[2 100],'tdim',1);
m = m.train(X);
Z = m.test(X);
DEVELOPER
Marcel van Gerven (m.vangerven@donders.ru.nl)
Jason Farquhar (j.farquhar@donders.ru.nl)| Superclasses | dml.method |
| Sealed | false |
| Construct on load | false |
| whiten | whitens the data. |
| W | whitening matrix |
| indim | input dimensions |
| indims | dimensions of the input data (excluding the trial dim and time dim in time series data) |
| invW | inverse whitening matrix |
| restart | when false, starts at the previously learned parameters; needed for online learning and grid search |
| std | standardizer object |
| tdim | target dimension |
| verbose | whether or not to generate diagnostic output |
| invert | mapping | |
| model | this method does not return a model | |
| test | standardize | |
| train | handle multiple datasets |