com.github.signaflo.data.regression

Class MultipleLinearRegressionPredictor

java.lang.Object

com.github.signaflo.data.regression.MultipleLinearRegressionPredictor

All Implemented Interfaces:

LinearRegressionPredictor

public class MultipleLinearRegressionPredictor
extends Object
implements LinearRegressionPredictor

A predictor that makes predictions using a multiple linear regression model.

Method Summary

Modifier and Type	Method and Description
boolean	equals(Object o)
static MultipleLinearRegressionPredictor	from(MultipleLinearRegression model) Create a new predictor from the given multiple linear regression model.
int	hashCode()
List<LinearRegressionPrediction>	predict(Matrix observations, double alpha) Predict a series of responses, one for each row in the observation matrix.
LinearRegressionPrediction	predict(Vector observation, double alpha) Predict a response using the given observation and significance level.
List<LinearRegressionPrediction>	predictDesignMatrix(Matrix designMatrix, double alpha) Predict a series of responses, one for each row in the design matrix.

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface com.github.signaflo.data.regression.LinearRegressionPredictor

predict, predict

Method Detail

from

public static MultipleLinearRegressionPredictor from(MultipleLinearRegression model)

Create a new predictor from the given multiple linear regression model.

Parameters:

model - the regression model to base predictions off of.

Returns:

a new predictor.

predict

public LinearRegressionPrediction predict(Vector observation,
                                          double alpha)

Description copied from interface: LinearRegressionPredictor

Predict a response using the given observation and significance level.

Specified by:

predict in interface LinearRegressionPredictor

Parameters:

observation - the new observation.

alpha - the significance level.

Returns:

the prediction of the response.

predict

public List<LinearRegressionPrediction> predict(Matrix observations,
                                                double alpha)

Description copied from interface: LinearRegressionPredictor

Predict a series of responses, one for each row in the observation matrix.

Specified by:

predict in interface LinearRegressionPredictor

Parameters:

observations - the new observations.

alpha - the significance level.

Returns:

a list of predictions, one for each row in the observation matrix.

predictDesignMatrix

public List<LinearRegressionPrediction> predictDesignMatrix(Matrix designMatrix,
                                                            double alpha)

Predict a series of responses, one for each row in the design matrix.

Parameters:

designMatrix - the design matrix for the prediction.

alpha - the significance level.

Returns:

a list of predictions, one for each row in the design matrix.

equals

public boolean equals(Object o)

Overrides:

equals in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object