CaliforniaHousing

classin packageklyn.math.datasets

public class CaliforniaHousing

CaliforniaHousing

California housing regression data: eight numeric features and a continuous median house value, expressed in units of 100,000 US dollars. Features are not standardized. The published data contains 20,640 census block groups.

Example

xTrain, yTrain, xTest, yTest = CaliforniaHousing.load()

Properties

Modifier and Type	Member	Description
public static readonly property	featureNames `featureNames as IList<String>`	Immutable feature names, in the column order returned by load().

Methods

Modifier and Type	Member	Description
public static	load `load<T>(folder as Path = null, testSplit as Double = 0.2, seed as Long = 42l, shuffle as Boolean = true, trainLimit as Long = 0l, testLimit as Long = 0l, download as Boolean = true) as Tuple<NDArray<T>, NDArray<T>, NDArray<T>, NDArray<T>>`	Loads four independent tensors, downloading and checking missing data.