| MATLAB File Help: prtPreProcMinMaxRows |
prtPreProcMinMaxRows Minimize and maximize all rows of the data MINMAX = prtPreProcMinMaxRows creates a min/max rows pre processing object. A prtPreProcMinMaxRows object linearly scales the input observations so that each row (observation) has a minimum of 0 and a maximum of 1. prtPreProcMinMaxRows has no user settable properties. A prtPreProcMinMaxRows object also inherits all properties and functions from the prtAction class. Note for two-dimensional data sets, min/max rows will result in all observations taking values 0 or 1. Example: dataSet = prtDataGenIris; % Load a data set dataSet = dataSet.retainFeatures(1:3); % Retain the first 3 features logDisc = prtPreProcMinMaxRows; % Create the pre processing % object minmax = logDisc.train(dataSet); % Train dataSetNew = minmax.run(dataSet); % Run % Plot subplot(2,1,1); plot(dataSet); title('Original Data'); subplot(2,1,2); plot(dataSetNew); title('MinMaxRows Data');
| Superclasses | prtPreProc |
| Sealed | false |
| Construct on load | false |
| prtPreProcMinMaxRows | Minimize and maximize all rows of the data |
| 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 | MinMax Rows |
| nameAbbreviation | MMR |
| 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. |