Search moodle.org's
Developer Documentation
Developer Documentation
See Release Notes
Long Term Support Release
- Bug fixes for general core bugs in 4.1.x will end 13 November 2023 (12 months).
- Bug fixes for security issues in 4.1.x will end 10 November 2025 (36 months).
- PHP version: minimum PHP 7.4.0 Note: minimum PHP version has increased since Moodle 4.0. PHP 8.0.x is supported too.
Differences Between: [Versions 401 and 402] [Versions 401 and 403]
(no description)
| File Size: | 484 lines (15 kb) |
| Included or required: | 0 times |
| Referenced: | 0 times |
| Includes or requires: | 0 files |
Defines 1 class
DecisionTree:: (16 methods):
__construct()
train()
getColumnTypes()
getGiniIndex()
setNumFeatures()
setColumnNames()
getHtml()
getFeatureImportances()
getSplitLeaf()
getBestSplit()
getSelectedFeatures()
preprocess()
isCategoricalColumn()
setSelectedFeatures()
getSplitNodesByColumn()
predictSample()
Class: DecisionTree - X-Ref
| __construct(int $maxDepth = 10) X-Ref |
| train(array $samples, array $targets) X-Ref |
| No description |
| getColumnTypes(array $samples) X-Ref |
| No description |
| getGiniIndex($baseValue, array $colValues, array $targets) X-Ref |
param: mixed $baseValue |
| setNumFeatures(int $numFeatures) X-Ref |
| This method is used to set number of columns to be used when deciding a split at an internal node of the tree. <br> If the value is given 0, then all features are used (default behaviour), otherwise the given value will be used as a maximum for number of columns randomly selected for each split operation. return: $this |
| setColumnNames(array $names) X-Ref |
| A string array to represent columns. Useful when HTML output or column importances are desired to be inspected. return: $this |
| getHtml() X-Ref |
| No description |
| getFeatureImportances() X-Ref |
| This will return an array including an importance value for each column in the given dataset. The importance values are normalized and their total makes 1.<br/> |
| getSplitLeaf(array $records, int $depth = 0) X-Ref |
| No description |
| getBestSplit(array $records) X-Ref |
| No description |
| getSelectedFeatures() X-Ref |
| Returns available features/columns to the tree for the decision making process. <br> If a number is given with setNumFeatures() method, then a random selection of features up to this number is returned. <br> If some features are manually selected by use of setSelectedFeatures(), then only these features are returned <br> If any of above methods were not called beforehand, then all features are returned by default. |
| preprocess(array $samples) X-Ref |
| No description |
| isCategoricalColumn(array $columnValues) X-Ref |
| No description |
| setSelectedFeatures(array $selectedFeatures) X-Ref |
| Used to set predefined features to consider while deciding which column to use for a split |
| getSplitNodesByColumn(int $column, DecisionTreeLeaf $node) X-Ref |
| Collects and returns an array of internal nodes that use the given column as a split criterion |
| predictSample(array $sample) X-Ref |
return: mixed |
