rdkit.ML.KNN.KNNRegressionModel module

Define the class _KNNRegressionModel_, used to represent a k-nearest neighbhors regression model

Inherits from _KNNModel_

class rdkit.ML.KNN.KNNRegressionModel.KNNRegressionModel(k, attrs, dfunc, radius=None)

Bases: rdkit.ML.KNN.KNNModel.KNNModel

This is used to represent a k-nearest neighbor classifier

GetBadExamples()

NameModel(varNames)

PredictExample(example, appendExamples=0, weightedAverage=0, neighborList=None)

Generates a prediction for an example by looking at its closest neighbors

Arguments

• examples: the example to be classified

• appendExamples: if this is nonzero then the example will be stored on this model

• weightedAverage: if provided, the neighbors’ contributions to the value will be

  weighed by their reciprocal square distance

• neighborList: if provided, will be used to return the list of neighbors

Returns

• the classification of _example_

SetBadExamples(examples)

type()