org.tribuo.transform.transformations

Class SimpleTransform

java.lang.Object

org.tribuo.transform.transformations.SimpleTransform

All Implemented Interfaces:

com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<TransformationProvenance>, Serializable, Transformation, Transformer, TransformStatistics

public final class SimpleTransform
extends Object
implements Transformer, Transformation, TransformStatistics

This is used for stateless functions such as exp, log, addition or multiplication by a constant.

It's a Transformation, Transformer and TransformStatistics as it has no data dependent state. This means a single Transformer can be used for every feature in a dataset.

Wraps a DoubleUnaryOperator which actually performs the transformation.

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	SimpleTransform.Operation Operations understood by this Transformation.
static class	SimpleTransform.SimpleTransformProvenance Provenance for SimpleTransform.

Field Summary

Fields

Modifier and Type	Field and Description
static double	EPSILON

Method Summary

Modifier and Type	Method and Description
static SimpleTransform	add(double operand) Generate a SimpleTransform that adds the operand to each value.
static SimpleTransform	binarise() Generate a SimpleTransform that sets negative and zero values to zero and positive values to one.
TransformStatistics	createStats() Returns itself.
static SimpleTransform	div(double operand) Generate a SimpleTransform that divides each value by the operand.
static SimpleTransform	exp() Generate a SimpleTransform that applies Math.exp(double).
Transformer	generateTransformer() Returns itself.
TransformationProvenance	getProvenance()
static SimpleTransform	log() Generate a SimpleTransform that applies Math.log(double).
static SimpleTransform	mul(double operand) Generate a SimpleTransform that multiplies each value by the operand.
void	observeSparse() No-op on this TransformStatistics.
void	observeSparse(int count) No-op on this TransformStatistics.
void	observeValue(double value) No-op on this TransformStatistics.
void	postConfig() Used by the OLCUT configuration system, and should not be called by external code.
static SimpleTransform	sub(double operand) Generate a SimpleTransform that subtracts the operand from each value.
static SimpleTransform	threshold(double min, double max) Generate a SimpleTransform that sets values below min to min, and values above max to max.
String	toString()
double	transform(double input) Apply the operation to the input.

Methods inherited from class java.lang.Object

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

Field Detail

EPSILON

public static final double EPSILON

See Also:

Constant Field Values

Method Detail

postConfig

public void postConfig()

Used by the OLCUT configuration system, and should not be called by external code.

Specified by:

postConfig in interface com.oracle.labs.mlrg.olcut.config.Configurable

getProvenance

public TransformationProvenance getProvenance()

Specified by:

getProvenance in interface com.oracle.labs.mlrg.olcut.provenance.Provenancable<TransformationProvenance>

observeValue

public void observeValue(double value)

No-op on this TransformStatistics.

Specified by:

observeValue in interface TransformStatistics

Parameters:

value - The value to observe

observeSparse

public void observeSparse()

No-op on this TransformStatistics.

Specified by:

observeSparse in interface TransformStatistics

observeSparse

public void observeSparse(int count)

No-op on this TransformStatistics.

Specified by:

observeSparse in interface TransformStatistics

Parameters:

count - The number of sparse values.

generateTransformer

public Transformer generateTransformer()

Returns itself.

Specified by:

generateTransformer in interface TransformStatistics

Returns:

this.

createStats

public TransformStatistics createStats()

Returns itself.

Specified by:

createStats in interface Transformation

Returns:

this.

transform

public double transform(double input)

Apply the operation to the input.

Specified by:

transform in interface Transformer

Parameters:

input - The input value to transform.

Returns:

The transformed value.

toString

public String toString()

Overrides:

toString in class Object

exp

public static SimpleTransform exp()

Generate a SimpleTransform that applies Math.exp(double).

Returns:

The exponential function.

log

public static SimpleTransform log()

Generate a SimpleTransform that applies Math.log(double).

Returns:

The logarithm function.

add

public static SimpleTransform add(double operand)

Generate a SimpleTransform that adds the operand to each value.

Parameters:

operand - The operand to add.

Returns:

An addition function.

sub

public static SimpleTransform sub(double operand)

Generate a SimpleTransform that subtracts the operand from each value.

Parameters:

operand - The operand to subtract.

Returns:

A subtraction function.

mul

public static SimpleTransform mul(double operand)

Generate a SimpleTransform that multiplies each value by the operand.

Parameters:

operand - The operand to multiply.

Returns:

A multiplication function.

div

public static SimpleTransform div(double operand)

Generate a SimpleTransform that divides each value by the operand.

Parameters:

operand - The divisor.

Returns:

A division function.

binarise

public static SimpleTransform binarise()

Generate a SimpleTransform that sets negative and zero values to zero and positive values to one.

Returns:

A binarising function.

threshold

public static SimpleTransform threshold(double min,
                                        double max)

Generate a SimpleTransform that sets values below min to min, and values above max to max.

Parameters:

min - The minimum value. To not threshold below, set to Double.NEGATIVE_INFINITY.

max - The maximum value. To not threshold above, set to Double.POSITIVE_INFINITY.

Returns:

A thresholding function.