LinearRegressionPredictor (timeseries 0.4 API)

All Known Implementing Classes:

MultipleLinearRegressionPredictor
```
public interface LinearRegressionPredictor
```
A predictor that makes predictions using a linear regression model.

Method Summary

All Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method and Description
`default List<LinearRegressionPrediction>`	`predict(Matrix observations)` Predict a series of responses, one for each row in the observation matrix.
`List<LinearRegressionPrediction>`	`predict(Matrix observations, double alpha)` Predict a series of responses, one for each row in the observation matrix.
`default LinearRegressionPrediction`	`predict(Vector observation)` Predict a response using the given observation, with a default significance level of 0.05.
`LinearRegressionPrediction`	`predict(Vector observation, double alpha)` Predict a response using the given observation and significance level.

- Method Detail
  - predict
```
LinearRegressionPrediction predict(Vector observation,
                                   double alpha)
```
    Predict a response using the given observation and significance level.
    
    Parameters:
    
    observation - the new observation.
    
    alpha - the significance level.
    
    Returns:
    
    the prediction of the response.
  - predict
```
default LinearRegressionPrediction predict(Vector observation)
```
    Predict a response using the given observation, with a default significance level of 0.05.
    
    Parameters:
    
    observation - the new observation.
    
    Returns:
    
    the prediction of the response.
  - predict
```
List<LinearRegressionPrediction> predict(Matrix observations,
                                         double alpha)
```
    Predict a series of responses, one for each row in the observation matrix.
    
    Parameters:
    
    observations - the new observations.
    
    alpha - the significance level.
    
    Returns:
    
    a list of predictions, one for each row in the observation matrix.
  - predict
```
default List<LinearRegressionPrediction> predict(Matrix observations)
```
    Predict a series of responses, one for each row in the observation matrix. This method uses a default significance level of 0.05.
    
    Parameters:
    
    observations - the new observations.
    
    Returns:
    
    a list of predictions, one for each row in the observation matrix.

Interface LinearRegressionPredictor

Method Summary

Method Detail

predict

predict

predict

predict