KernelType enum
A type of a kernel function.
Defines a way the weights of the nearest observations are being calculated for K nearest neighbours algorithm (KNN).
Pure KNN algorithm does not consider how far is a particular observation from the target one and it generally leads to imprecise prediction.
To avoid such a behaviour, one may use a kernel function, that accepts a distance between an observation being evaluated and the target one and returns a weight denoting, how much the evaluating observation will contribute in prediction for the target one.
Constructors
 KernelType()

const
Values
 uniform → const KernelType

A kernel that calculates weights using the following formula:
 epanechnikov → const KernelType

A kernel that calculates weights using the following formula:
 cosine → const KernelType

A kernel that calculates weights using the following formula:
 gaussian → const KernelType

A kernel that calculates weights using the following formula:
Properties
Methods

noSuchMethod(
Invocation invocation) → dynamic 
Invoked when a nonexistent method or property is accessed.
inherited

toString(
) → String 
A string representation of this object.
inherited
Operators

operator ==(
Object other) → bool 
The equality operator.
inherited
Constants

values
→ const List<
KernelType>  A constant List of the values in this enum, in order of their declaration.