jsat.datatransform

Class DenseSparceTransform

java.lang.Object

jsat.datatransform.DenseSparceTransform

All Implemented Interfaces:

Serializable, Cloneable, DataTransform

public class DenseSparceTransform
extends Object
implements DataTransform

Dense sparce transform alters the vectors that store the numerical values. Based on a threshold in (0, 1), vectors will be converted from dense to sparce, sparce to dense, or left alone.

Author:

Edward Raff

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
DenseSparceTransform(double factor) Creates a new Dense Sparce Transform.

Method Summary

Modifier and Type	Method and Description
DenseSparceTransform	clone()
void	fit(DataSet data) Fits this transform to the given dataset.
DataPoint	transform(DataPoint dp) Returns a new data point that is a transformation of the original data point.

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

DenseSparceTransform

public DenseSparceTransform(double factor)

Creates a new Dense Sparce Transform. The factor gives the maximal percentage of values that may be non zero for a vector to be sparce. Any vector meeting the requirement will be converted to a sparce vector, and others made dense. If the factor is greater than or equal to 1, then all vectors will be made sparce. If less than or equal to 0, then all will be made dense.

Parameters:

factor - the fraction of the vectors values that may be non zero to qualify as sparce

Method Detail

fit

public void fit(DataSet data)

Description copied from interface: DataTransform

Fits this transform to the given dataset. Some transforms can only be learned from classification or regression datasets. If an incompatible dataset type is given, a FailedToFitException exception may be thrown.

Specified by:

fit in interface DataTransform

Parameters:

data - the dataset to fir this transform to

transform

public DataPoint transform(DataPoint dp)

Description copied from interface: DataTransform

Returns a new data point that is a transformation of the original data point. This new data point is a different object, but may contain the same references as the original data point. It is not guaranteed that you can mutate the transformed point without having a side effect on the original point.

Specified by:

transform in interface DataTransform

Parameters:

dp - the data point to apply a transformation to

Returns:

a transformed data point

clone

public DenseSparceTransform clone()

Specified by:

clone in interface DataTransform

Overrides:

clone in class Object