MATLAB File Help: prtOutlierRemovalNonFinite
  prtOutlierRemovalNonFinite  Removes missing data from a prtDataSet
    OutRemove = prtOutlierRemovalNonFinite creates a pre-processing
    object that removes all missing data as outliers. Missing data are
    respresented as NaN's in the original data set.
    A prtOutlierRemovalNonFinite object also inherits all properties and
    functions from the prtOutlierRemoval class.  For more information
    on how to control the behaviour of outlier removal objects, see the
    help for prtOutlierRemoval.
    dataSet = prtDataGenUnimodal;               % Load a data Set
    outlier = prtDataSetClass([NaN NaN; inf inf],[1;1]);     % Create and insert
    dataSet = catObservations(dataSet,outlier); % an Outlier
    % Create the prtOutlierRemoval object
    nonFiniteRemove = prtOutlierRemovalNonFinite('runMode','removeObservation');
    nonFiniteRemove = nonFiniteRemove.train(dataSet);    % Train and run
    dataSetNew =;
See Also
Class Details
Superclasses prtOutlierRemoval
Sealed false
Construct on load false
Constructor Summary
prtOutlierRemovalNonFinite Need to check this with the string - setting the string in 
Property Summary
dataSet The training prtDataSet, only stored if verboseStorage is true.  
dataSetSummary Structure that summarizes prtDataSet. 
isCrossValidateValid False 
isSupervised False 
isTrained Indicates if prtAction object has been trained. 
name Required by prtAction 
nameAbbreviation NonFiniteDataRemove 
runMode Operation taken during RUN 
runOnTrainingMode Operation taken during TRAIN 
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.