LeastSquares

Documentation of 'cc.mallet.regression.LeastSquares' Java class LeastSquares

public class LeastSquares
extends java.lang.Object

Constructors
Constructor and Description
`LeastSquares(InstanceList data)`
`LeastSquares(InstanceList data, double regularization)`

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`int`	`getNumParameters()`
`double`	`getParameter(int i)`
`void`	`getParameters(double[] buffer)`
`LinearRegression`	`getRegression()`
`static void`	`main(java.lang.String[] args)`
`void`	`printSummary()` Print a summary of the regression, similar to summary(lm(...)) in R
`double[]`	`pValues()`
`java.lang.String`	`significanceStars(double p)`

Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

public LeastSquares(InstanceList data)

public LeastSquares(InstanceList data,
                    double regularization)

printSummary
```
public void printSummary()
```
Print a summary of the regression, similar to summary(lm(...)) in R

public java.lang.String significanceStars(double p)

public void getParameters(double[] buffer)

public LinearRegression getRegression()

public static void main(java.lang.String[] args)
                 throws java.lang.Exception

Class LeastSquares