The ExtraTree will select the best of a random subset of features at each level, this sets the number of random features to select. If set larger than the number of features in the training set, all features will be eligible for selection at every level. @param selectionCount the number of random fe
(int selectionCount)
| 123 | * @param selectionCount the number of random features to select |
| 124 | */ |
| 125 | public void setSelectionCount(int selectionCount) |
| 126 | { |
| 127 | this.selectionCount = selectionCount; |
| 128 | } |
| 129 | |
| 130 | /** |
| 131 | * Returns the number of random features chosen at each level in the tree |