Class Regressor.DimensionTuple

java.lang.Object

org.tribuo.regression.Regressor

org.tribuo.regression.Regressor.DimensionTuple

All Implemented Interfaces:

Serializable, Iterable<Regressor.DimensionTuple>, Output<Regressor>

Enclosing class:

Regressor

public static final class Regressor.DimensionTuple
extends Regressor

A Regressor which contains a single dimension, used internally when the model implementation doesn't natively support multi-dimensional regression outputs.

See Also:

• Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class org.tribuo.regression.Regressor

Regressor.DimensionTuple

Field Summary

Fields inherited from class org.tribuo.regression.Regressor

DEFAULT_NAME, TOLERANCE

Constructor Summary

Constructors

Constructor	Description
DimensionTuple(String name, double value)	Creates a dimension tuple from the supplied name and value.
DimensionTuple(String name, double value, double variance)	Creates a dimension tuple from the supplied name, value and variance.

Method Summary

Modifier and Type	Method	Description
Regressor.DimensionTuple	copy()	Deep copy of the output up to it's immutable state.
boolean	equals(Object o)	Regressors are equal if they have the same number of dimensions and equal dimension names.
boolean	fullEquals(Regressor other)	Compares other to this output.
Optional<Regressor.DimensionTuple>	getDimension(String name)	Returns a dimension tuple for the requested dimension, or optional empty if it's not valid.
String	getDimensionNamesString()	Returns a comma separated list of the dimension names.
String	getName()	Returns the name.
String	getSerializableForm(boolean includeConfidence)	Generates a String suitable for writing to a csv or json file.
double	getValue()	Returns the value.
double	getVariance()	Returns the variance.
int	hashCode()	All regressors have a hashcode based on only the dimension names.
Iterator<Regressor.DimensionTuple>	iterator()
int	size()	Returns the number of dimensions in this regressor.
String	toString()

Methods inherited from class org.tribuo.regression.Regressor

createFromPairList, extractNames, getDimensionNamesString, getNames, getValues, getVariances, parseElement, parseString, parseString

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface java.lang.Iterable

forEach, spliterator

Constructor Details

DimensionTuple

public DimensionTuple(String name,
 double value,
 double variance)

Creates a dimension tuple from the supplied name, value and variance.

Parameters:

name - The dimension name.

value - The dimension value.

variance - The variance of the value, if known. Otherwise Double.NaN.

DimensionTuple

public DimensionTuple(String name,
 double value)

Creates a dimension tuple from the supplied name and value. Sets the variance to Double.NaN.

Parameters:

name - The dimension name.

value - The dimension value.

Method Details

size

public int size()

Description copied from class: Regressor

Returns the number of dimensions in this regressor.

Overrides:

size in class Regressor

Returns:

The number of dimensions.

toString

public String toString()

Overrides:

toString in class Regressor

getDimension

public Optional<Regressor.DimensionTuple> getDimension(String name)

Description copied from class: Regressor

Returns a dimension tuple for the requested dimension, or optional empty if it's not valid.

Overrides:

getDimension in class Regressor

Parameters:

name - The dimension name.

Returns:

A tuple representing that dimension.

iterator

public Iterator<Regressor.DimensionTuple> iterator()

Specified by:

iterator in interface Iterable<Regressor.DimensionTuple>

Overrides:

iterator in class Regressor

copy

public Regressor.DimensionTuple copy()

Description copied from interface: Output

Deep copy of the output up to it's immutable state.

Specified by:

copy in interface Output<Regressor>

Overrides:

copy in class Regressor

Returns:

A copy of the output.

getName

public String getName()

Returns the name.

Returns:

The name.

getValue

public double getValue()

Returns the value.

Returns:

The value.

getVariance

public double getVariance()

Returns the variance.

Returns:

The variance.

getSerializableForm

public String getSerializableForm(boolean includeConfidence)

Description copied from interface: Output

Generates a String suitable for writing to a csv or json file.

Specified by:

getSerializableForm in interface Output<Regressor>

Overrides:

getSerializableForm in class Regressor

Parameters:

includeConfidence - Include whatever confidence score the label contains, if known.

Returns:

A String representation of this Output.

fullEquals

public boolean fullEquals(Regressor other)

Description copied from interface: Output

Compares other to this output. Uses all score values and the strings.

Specified by:

fullEquals in interface Output<Regressor>

Overrides:

fullEquals in class Regressor

Parameters:

other - Another output instance.

Returns:

True if the other instance has value equality to this instance. False otherwise.

equals

public boolean equals(Object o)

Description copied from class: Regressor

Regressors are equal if they have the same number of dimensions and equal dimension names.

Overrides:

equals in class Regressor

Parameters:

o - An object.

Returns:

True if Object is a Regressor with the same dimension names, false otherwise.

hashCode

public int hashCode()

All regressors have a hashcode based on only the dimension names.

Overrides:

hashCode in class Regressor

Returns:

A hashcode.

getDimensionNamesString

public String getDimensionNamesString()

Description copied from class: Regressor

Returns a comma separated list of the dimension names.

Overrides:

getDimensionNamesString in class Regressor

Returns:

The dimension names comma separated.