Creates a matrix backed by the data set, where each row is a data point from the dataset, and each column is one of the numeric examples from the data set. Any modifications to this matrix will be reflected in the dataset. This method has the advantage over #getDataMatrix() in tha
()
| 745 | * @return a matrix representation of the data points |
| 746 | */ |
| 747 | public Matrix getDataMatrixView() |
| 748 | { |
| 749 | return new MatrixOfVecs(getDataVectors()); |
| 750 | } |
| 751 | |
| 752 | /** |
| 753 | * Returns the number of features in this data set, which is the sum of {@link #getNumCategoricalVars() } and {@link #getNumNumericalVars() } |
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