| Trees | Indices | Help |
|
|---|
|
|
object --+
|
KNNModel
This is a base class used by KNNClassificationModel
and KNNRegressionModel to represent a k-nearest neighbor predictor. In general
one of this child classes needs to be instantiated.
_KNNModel_s can save the following pieces of internal state, accessible via
standard setter/getter functions - the child object store additional stuff:
1) _Examples_: a list of examples which have been predicted (either classified
or values predicted)
2) _TrainingExamples_: List of training examples (since this is a KNN model these examples
along with the value _k_ below define the model)
3) _TestExamples_: the list of examples used to test the model
4) _k_: the number of closest neighbors used for prediction
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
Inherited from |
|||
|
|||
|
Inherited from |
|||
|
|||
x.__init__(...) initializes x; see help(type(x)) for signature
|
| Trees | Indices | Help |
|
|---|
| Generated by Epydoc 3.0.1 on Thu Feb 1 16:13:01 2018 | http://epydoc.sourceforge.net |