KnnClassifier constructor

KnnClassifier(DataFrame trainData, String targetName, int k, { KernelType kernel = KernelType.gaussian, Distance distance = Distance.euclidean, String classLabelPrefix = 'Class label', DType dtype = dTypeDefaultValue, })

Parameters:

trainData Labelled observations. Must contain targetName column.

targetName A string that serves as a name of the column containing outcomes.

k A number of nearest neighbours to be found among trainData

kernel A kernel function that will be used to predict an outcome for a new observation

distance A way to measure a distance between two observation vectors

dtype A data type for all the numeric values, used by the algorithm. Default value is DType.float32

Implementation

factory KnnClassifier(
  DataFrame trainData,
  String targetName,
  int k, {
  KernelType kernel = KernelType.gaussian,
  Distance distance = Distance.euclidean,
  String classLabelPrefix = 'Class label',
  DType dtype = dTypeDefaultValue,
}) =>
    initKnnClassifierModule().get<KnnClassifierFactory>().create(
          trainData,
          targetName,
          k,
          kernel,
          distance,
          classLabelPrefix,
          dtype,
        );