smile.feature

Enum NumericAttributeFeature.Scaling

java.lang.Object

java.lang.Enum<NumericAttributeFeature.Scaling>

smile.feature.NumericAttributeFeature.Scaling

All Implemented Interfaces:

java.io.Serializable, java.lang.Comparable<NumericAttributeFeature.Scaling>

Enclosing class:

NumericAttributeFeature

public static enum NumericAttributeFeature.Scaling
extends java.lang.Enum<NumericAttributeFeature.Scaling>

The types of data scaling.

Enum Constant Summary

Enum Constants

Enum Constant and Description
LOGARITHM Takes logarithms of input data when they contain order-of-magnitude larger and smaller values.
NONE No scaling at all.
NORMALIZATION Normalization scales all numeric variables in the range [0, 1].
STANDARDIZATION Standardization transforms a variable to have zero mean and unit variance.

Method Summary

Modifier and Type	Method and Description
static NumericAttributeFeature.Scaling	valueOf(java.lang.String name) Returns the enum constant of this type with the specified name.
static NumericAttributeFeature.Scaling[]	values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods inherited from class java.lang.Enum

clone, compareTo, equals, finalize, getDeclaringClass, hashCode, name, ordinal, toString, valueOf

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Enum Constant Detail

NONE

public static final NumericAttributeFeature.Scaling NONE

No scaling at all.

LOGARITHM

public static final NumericAttributeFeature.Scaling LOGARITHM

Takes logarithms of input data when they contain order-of-magnitude larger and smaller values. Note logarithms are defined only for positive values.

NORMALIZATION

public static final NumericAttributeFeature.Scaling NORMALIZATION

Normalization scales all numeric variables in the range [0, 1]. If the dataset has outliers, normalization will certainly scale the "normal" data to a very small interval. In this case, the Winsorization procedure should be applied: values greater than the specified upper limit are replaced with the upper limit, and those below the lower limit are replace with the lower limit. Often, the specified range is indicate in terms of percentiles of the original distribution (like the 5th and 95th percentile).

STANDARDIZATION

public static final NumericAttributeFeature.Scaling STANDARDIZATION

Standardization transforms a variable to have zero mean and unit variance. Standardization makes an assumption that the data follows a Gaussian distribution and are also not robust when outliers present. A robust alternative is to subtract the median and divide by the IQR.

Method Detail

values

public static NumericAttributeFeature.Scaling[] values()

Returns an array containing the constants of this enum type, in the order they are declared. This method may be used to iterate over the constants as follows:

for (NumericAttributeFeature.Scaling c : NumericAttributeFeature.Scaling.values())
    System.out.println(c);

Returns:

an array containing the constants of this enum type, in the order they are declared

valueOf

public static NumericAttributeFeature.Scaling valueOf(java.lang.String name)

Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)

Parameters:

name - the name of the enum constant to be returned.

Returns:

the enum constant with the specified name

Throws:

java.lang.IllegalArgumentException - if this enum type has no constant with the specified name

java.lang.NullPointerException - if the argument is null