MATLAB File Help: prtPreProcZeroMeanRows |
prtPreProcZeroMeanRows Zero mean observations (rows) ZM = prtPreProcZeroMeanRows creates an object that removes the mean from each row (observation) of a data set. prtPreProcZeroMeanRows has no user settable properties. A prtPreProcZeroMeanRows object also inherits all properties and functions from the prtAction class. Example: dataSet = prtDataGenIris; % Load a data set dataSet = dataSet.retainFeatures(1:3); % Use only the first 3 features zmr = prtPreProcZeroMeanRows; % Create a % prtPreProcZeroMeanRows object zmr = zmr.train(dataSet); % Train dataSetNew = zmr.run(dataSet); % Run % Plot subplot(2,1,1); plot(dataSet); subplot(2,1,2); plot(dataSetNew);
Superclasses | prtPreProc |
Sealed | false |
Construct on load | false |
prtPreProcZeroMeanRows | Zero mean observations (rows) |
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 | Zero-Mean Rows |
nameAbbreviation | ZMR |
showProgressBar | |
userData | User specified data |
verboseStorage | Specifies whether or not to store the training prtDataset. |
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. |