magpie.models.regression

Class GuessMeanRegression

java.lang.Object

magpie.models.BaseModel

magpie.models.regression.BaseRegression

magpie.models.regression.SingleGuessRegression

magpie.models.regression.GuessMeanRegression

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, AbstractRegressionModel, Citable, Commandable, Options, Printable, Savable

public class GuessMeanRegression
extends SingleGuessRegression

Always guess the mean of the values provided during training. User can add jitter in the same way as SingleGuessRegression.

Usage: [-jitter <jitter>]
value: Amount of random variation added to guess (default=0)

See Also:

Serialized Form

Field Summary

Fields inherited from class magpie.models.regression.SingleGuessRegression

Guess, Jitter

Fields inherited from class magpie.models.BaseModel

AttributeSelector, trained, TrainingStats, validated, ValidationStats

Constructor Summary

Constructors

Constructor and Description
GuessMeanRegression()

Method Summary

Modifier and Type	Method and Description
int	getNFittingParameters() Number of fitting parameters in a model.
java.lang.String	printUsage() Print out required format for options.
void	setOptions(java.util.List OptionsObj) Set any options for this object.
void	train_protected(Dataset E) Train a model without evaluating performance

Methods inherited from class magpie.models.regression.SingleGuessRegression

clone, getGuess, printModel_protected, printModelDescriptionDetails, run_protected, setGuess

Methods inherited from class magpie.models.regression.BaseRegression

doRobustRegression, getRobustRegressionQ, robustTraining, runCommand, setRobustRegressionQ

Methods inherited from class magpie.models.BaseModel

about, crossValidate, crossValidate, crossValidate, done, externallyValidate, getAttributeSelector, getCitations, getFilter, getTrainTime, getValidationMethod, handleSetCommand, isTrained, isValidated, loadState, printCommand, printDescription, printModel, resetModel, run, saveCommand, saveState, setAttributeSelector, setComponent, setFilter, train, train

Methods inherited from class java.lang.Object

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

Constructor Detail

GuessMeanRegression

public GuessMeanRegression()

Method Detail

setOptions

public void setOptions(java.util.List OptionsObj)
                throws java.lang.Exception

Description copied from interface: Options

Set any options for this object. If parsing the options fails, return an Exception with the usage as its message.

Specified by:

setOptions in interface Options

Overrides:

setOptions in class SingleGuessRegression

Parameters:

OptionsObj - Array of options as Objects - can be null

Throws:

java.lang.Exception - if problem with inputs

printUsage

public java.lang.String printUsage()

Description copied from interface: Options

Print out required format for options. For consistency, should start with "Usage: ".

Specified by:

printUsage in interface Options

Overrides:

printUsage in class SingleGuessRegression

Returns:

Usage for this function

getNFittingParameters

public int getNFittingParameters()

Description copied from interface: AbstractRegressionModel

Number of fitting parameters in a model. Only pertinent to nonlinear regression. Otherwise, this should just return 0.

Specified by:

getNFittingParameters in interface AbstractRegressionModel

Overrides:

getNFittingParameters in class SingleGuessRegression

Returns:

Number of fitting parameters

train_protected

public void train_protected(Dataset E)

Description copied from class: BaseModel

Train a model without evaluating performance

Overrides:

train_protected in class SingleGuessRegression

Parameters:

E - Training data