edu.columbia.tjw.item.spark

Class ItemClassifierSettings

java.lang.Object

edu.columbia.tjw.item.spark.ItemClassifierSettings

All Implemented Interfaces:

Serializable

public final class ItemClassifierSettings
extends Object
implements Serializable

All the collected settings needed in order to run the ItemClassifier.

Author:

tyler

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
edu.columbia.tjw.item.ItemSettings	_settings

Constructor Summary

Constructors

Constructor and Description
ItemClassifierSettings(ItemClassifierSettings base_, edu.columbia.tjw.item.ItemSettings settings_)
ItemClassifierSettings(edu.columbia.tjw.item.ItemSettings settings_, String intercept_, edu.columbia.tjw.item.base.SimpleStatus status_, int maxParamCount_, List<String> regressors_, Set<String> curveRegressors_) Use this to construct settings unless you really know what you're doing.

Method Summary

Modifier and Type	Method and Description
SortedSet<edu.columbia.tjw.item.base.SimpleRegressor>	getCurveRegressors()
edu.columbia.tjw.item.ItemCurveFactory<edu.columbia.tjw.item.base.SimpleRegressor,edu.columbia.tjw.item.base.StandardCurveType>	getFactory()
edu.columbia.tjw.item.base.SimpleStatus	getFromStatus()
edu.columbia.tjw.item.base.SimpleRegressor	getIntercept()
int	getMaxParamCount()
Set<edu.columbia.tjw.item.base.SimpleRegressor>	getNonCurveRegressors()
List<edu.columbia.tjw.item.base.SimpleRegressor>	getRegressors()
edu.columbia.tjw.item.ItemSettings	getSettings()
static ItemClassifierSettings	load(String filename_)
void	save(String fileName_)

Methods inherited from class java.lang.Object

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

Field Detail

_settings

public edu.columbia.tjw.item.ItemSettings _settings

Constructor Detail

ItemClassifierSettings

public ItemClassifierSettings(ItemClassifierSettings base_,
                              edu.columbia.tjw.item.ItemSettings settings_)

ItemClassifierSettings

public ItemClassifierSettings(edu.columbia.tjw.item.ItemSettings settings_,
                              String intercept_,
                              edu.columbia.tjw.item.base.SimpleStatus status_,
                              int maxParamCount_,
                              List<String> regressors_,
                              Set<String> curveRegressors_)

Use this to construct settings unless you really know what you're doing.

Parameters:

settings_ - Item settings to use, can be null.

intercept_ - Which regressor will be the intercept. You don't need to specify this in the data, it will be assumed to be 1.0 always.

status_ - Which status are we projecting from (only interesting for markov chains, just make a simple 2 status family if in doubt).

maxParamCount_ - How many parameters is the model allowed to use. Each curve will use approximately 3 params.

regressors_ - The list (in order) of the regressors to use. This must be in the same order that they appear in the features column.

curveRegressors_ - The regressors that can support curves (i.e. they are not binary flags), order doesn't matter for these.

Method Detail

getSettings

public edu.columbia.tjw.item.ItemSettings getSettings()

getFromStatus

public edu.columbia.tjw.item.base.SimpleStatus getFromStatus()

getIntercept

public edu.columbia.tjw.item.base.SimpleRegressor getIntercept()

getFactory

public edu.columbia.tjw.item.ItemCurveFactory<edu.columbia.tjw.item.base.SimpleRegressor,edu.columbia.tjw.item.base.StandardCurveType> getFactory()

getMaxParamCount

public int getMaxParamCount()

getRegressors

public List<edu.columbia.tjw.item.base.SimpleRegressor> getRegressors()

getCurveRegressors

public SortedSet<edu.columbia.tjw.item.base.SimpleRegressor> getCurveRegressors()

getNonCurveRegressors

public Set<edu.columbia.tjw.item.base.SimpleRegressor> getNonCurveRegressors()

save

public void save(String fileName_)
          throws IOException

Throws:

IOException

load

public static ItemClassifierSettings load(String filename_)
                                   throws IOException

Throws:

IOException