MATLAB File Help: dml.standardizer View code for dml.standardizer Default Topics
dml.standardizer
  standardizer takes zscores.
  
    DESCRIPTION
    Takes zscores such that data has mean 0 and standard deviation 1
   
    EXAMPLE
    X = rand(10,3);
    m = dml.standardizer;
    m = m.train(X);
    Z = m.test(X);
 
    DEVELOPER
    Marcel van Gerven (m.vangerven@donders.ru.nl)
Class Details
Superclasses dml.method
Sealed false
Construct on load false
Constructor Summary
standardizer takes zscores. 
Property Summary
indims dimensions of the input data (excluding the trial dim and time dim in time series data) 
mu mean 
restart when false, starts at the previously learned parameters; needed for online learning and grid search 
sigma standard deviation 
verbose whether or not to generate diagnostic output 
Method Summary
  invert inverts the standardization 
  model this method does not return a model 
  test  
  train handle multiple datasets