Decision tree algorithm parameters.
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def __init__ |
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nClasses = 2 |
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Main constructor
- Parameters
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nClasses | Number of classes |
Checks a parameter of the Decision tree algorithm
Maximum tree depth. 0 means unlimited depth.
minObservationsInLeafNodes = ... |
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static |
Minimum number of observations in the leaf node. Can be any positive number.
The number of bins used to compute probabilities of the observations belonging to the class.
Pruning method for Decision tree
Split criterion for Decision tree classification
The documentation for this class was generated from the following file:
- algorithms/decision_tree/classification/__init__.py