DecisionTree Methods |
The DecisionTree type exposes the following members.
Methods| Name | Description | |
|---|---|---|
 | Classify(Matrix) |
Classifies the observation matrix.
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| Classify(Vector) |
Classifies observation vector into one of the classes.
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| Classify(Matrix, IntegerArray) |
Classifies the observation matrix.
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| Clone |
Performs object deep copy.
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| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) |
| GetHashCode | Serves as the default hash function. (Inherited from Object.) |
| GetObjectData |
The object optimized serialization method.
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| GetType | Gets the Type of the current instance. (Inherited from Object.) |
| Load |
Load model from file.
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| Save |
Save model to file.
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| ToString | Returns a string that represents the current object. (Inherited from Object.) |
| Train(Matrix, IntegerArray) |
The BaseClassifier interface function.
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| Train(Matrix, IntegerArray, IListDecisionTreeFactorType, Vector, Double, Int32, Boolean, Boolean, Boolean, RandomGenerator) |
Build the decision tree CART classifier.
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See Also