MATLAB File Help: 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');
Superclasses | prtPreProcClass |
Sealed | false |
Construct on load | false |
prtPreProcLogDisc | Allow for string, value pairs |
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. |
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. |