MATLAB File Help: prtPreProcLogDisc
prtPreProcLogDisc
  prtPreProcLogDisc   Histogram equalization processing
 
    LOGDISC = prtPreProcLogDisc creates a logistic discriminant pre
    processing object. A prtPreProcLogDisc object processes the input data
    so that each feature dimension is scaled between 0 and 1 to best
    match the data set class labels.
  
    prtPreProcLogDisc has no user settable properties.
 
    A prtPreProcLogDisc object also inherits all properties and
    functions from the prtAction class
 
    Example:
 
    dataSet = prtDataGenUnimodal;     % Load a data set
    logDisc = prtPreProcLogDisc;      % Create a pre processing object
                                 
    logDisc = logDisc.train(dataSet);  % Train
    dataSetNew = logDisc.run(dataSet); % Run
  
    % Plot
    subplot(2,1,1); plot(dataSet);
    title('Original Data');
    subplot(2,1,2); plot(dataSetNew);
    title('LogDisc Data');
See Also
Class Details
Superclasses prtPreProcClass
Sealed false
Construct on load false
Constructor Summary
prtPreProcLogDisc Allow for string, value pairs 
Property Summary
dataSet The training prtDataSet, only stored if verboseStorage is true.  
dataSetSummary Structure that summarizes prtDataSet. 
isCrossValidateValid True 
isSupervised False 
isTrained Indicates if prtAction object has been trained. 
name 'Logistic Discriminant' 
nameAbbreviation LogDisc 
showProgressBar  
userData User specified data 
verboseStorage Specifies whether or not to store the training prtDataset. 
Method Summary
  crossValidate Cross validate prtAction using prtDataSet and cross validation keys. 
  get get the object properties 
  kfolds Perform K-folds cross-validation of prtAction 
  optimize Optimize action parameter by exhaustive function maximization. 
  run Run a prtAction object on a prtDataSet object. 
  set set the object properties 
  train Train a prtAction object using training a prtDataSet object.