MATLAB File Help: prtDataSetRegress
prtDataSetRegress
  prtDataSetRegress   Data set object for regression
 
    DATASET = prtDataSetRegress returns a prtDataSetRegress object
 
    DATASET = prtDataSetRegress(PROPERTY1, VALUE1, ...) constructs a
    prtDataSetRegress object DATASET with properties as specified by
    PROPERTY/VALUE pairs.
 
    A prtDataSetRegress object inherits all properties from the
    prtDataSetStandard class. 
 
    A prtDataSetRegress inherits all methods from the
    prtDataSetStandard object. In addition it overloads the following
    functions:
 
    plot      - Plot the prtDataSetRegress object
    summarize - Summarize the prtDataSetRegress object.
See also
Class Details
Superclasses prtDataSetStandard
Sealed false
Construct on load false
Constructor Summary
prtDataSetRegress Data set object for regression 
Property Summary
data  
description A string with a verbose description of the data set 
featureInfo Additional data (structure) per feature 
featureInfoInternal  
featureNameModificationFunctionInternal  
featureNameModificationMaskInternal  
internalData  
internalSizeConsitencyCheck  
internalTargets  
isLabeled Whether or not the data has target labels 
nFeatures The number of features 
nObservations The number of observations 
nTargetDimensions The number of target dimensions 
name A string naming the data set 
observationInfo Struct of observation information 
observationInfoInternal  
observationNamesInternal The observations names 
targetNamesInternal The target names. 
targets  
userData Additional data per data set 
Method Summary
  bootstrap dsBoot = bootstrap(dataSet,nSamples) 
  catFeatures dsOut = catFeatures(dataSet1,dataSet2) 
protected   catObservationInfo  
  catObservations dsOut = catObservations(dataSet1,dataSet2) 
  catTargets dsOut = catTargets(dataSet1,dataSet2) 
protected Static   checkConsistency  
  getData data = getData(dataSet) 
  getFeatureInfo  
  getFeatureNames names = getFeatureNames(dataSet) 
  getFeatures Return the features of a prtDataSetStandard 
  getKFoldKeys keys = getKFoldKeys(dataSet,K) 
  getNumFeatures  
  getNumObservations nObs = getNumObservations(dataSet) 
  getNumTargetDimensions nTargets = getNumTargetDimensions(dataSet) 
  getObservationInfo obsInfo = getObservationInfo(dataSet) 
  getObservationNames Return DataSet's Observation Names 
  getObservations d = getObservations(dataSet) 
  getTargetNames Return the target names from a dataset 
  getTargets targets = getTargets(dataSet) 
  getX Shortcut for GetObservations 
  getXY Shortcut for getObservationsAndTargets 
  getY Shortcut for getTargets 
Static   loadobj We allow input baseClass here so that we can make a class of 
  permuteFeatures dsOut = permuteFeatures(dataSet,permuteFeatureInds) 
  plot Plot the prtDataSetRegress object 
  removeFeatures dsOut = removeFeatures(dataSet,removeFeatureInds) 
  removeObservations dsOut = removeObservations(dataSet,indices) 
  removeTargets dsOut = removeTargets(dataSet,indices) 
protected   retainFeatureNames  
  retainFeatures dsOut = retainFeatures(dataSet,retainFeatureInds) 
protected   retainObservationInfo  
  retainObservations dsOut = removeObservations(dataSet,indices) 
  retainTargets dsOut = retainTargets(dataSet,indices) 
  select observations to retain by specifying a function 
  setData dsOut = setData(dataSet,dataIn) 
  setFeatureInfo  
  setFeatureNames dataSet = setFeatureNames(dataSet,names) 
  setFeatures dsOut = setFeatures(dataSet,data,indices) 
  setObservationInfo dataSet = setObservationInfo(dataSet,obsInfoStruct) 
  setObservationNames Set the observation names of a data set 
  setObservations dataSet = setObservations(dataSet,data) 
  setObservationsAndTargets dataSet = setObservationsAndTargets(dataSet,data,targets) 
  setTargetNames Set the data set target names 
  setTargets dsOut = setTargets(dataSet,dataIn) 
  setX Shortcut for setObservations 
  setXY Shortcut for setObservationsAndTargets 
  setY Shortcut for setTargets 
protected   update default behaviour is to do nothing 
protected   updateObservationsCache default behaviour is to do nothing