Package com.datarobot.prediction

Class BaseRegressionPredictor

java.lang.Object

com.datarobot.prediction.BasePredictor

com.datarobot.prediction.BaseRegressionPredictor

All Implemented Interfaces:

Serializable

public class BaseRegressionPredictor
extends BasePredictor
implements Serializable

See Also:

Serialized Form

Field Summary

Fields inherited from class com.datarobot.prediction.BasePredictor

features, numDoubles, numStrings, predictor

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	BaseRegressionPredictor(Predictor predictor)

Method Summary

Modifier and Type	Method	Description
Map<String,Type>	getFeatures()	Returns an ordered map of the model's features and their types.
static BaseRegressionPredictor	getPredictor(String id)	Returns an instance of the loaded BaseRegressionPredictor by model ID
double	score(Iterable<? extends Object> row)	Predicts a single row
double	score(Map<String,? extends Object> row)	Predicts a single row

Methods inherited from class com.datarobot.prediction.BasePredictor

getModel

Methods inherited from class java.lang.Object

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

Constructor Detail

BaseRegressionPredictor

protected BaseRegressionPredictor(Predictor predictor)

Method Detail

score

public double score(Iterable<? extends Object> row)
             throws Exception

Predicts a single row

The values of row should be in the same order as defined in BasePredictor.features

Parameters:

row - - The field values (String or Double)

Returns:

the prediction for the given row by the model.

Throws:

Exception - If an input or internal exception occurs

score

public double score(Map<String,? extends Object> row)
             throws Exception

Predicts a single row

The row is a map of features to their respective values

Parameters:

row - - The field values (String or Double)

Returns:

the prediction for the given row by the model.

Throws:

Exception - If an input or internal exception occurs

getFeatures

public Map<String,Type> getFeatures()

Returns an ordered map of the model's features and their types. The order of fields matches the order expected by score(Iterable)

Returns:

an ordered map of the model's features.

getPredictor

public static BaseRegressionPredictor getPredictor(String id)
                                            throws ClassNotFoundException,
                                                   IllegalAccessException,
                                                   InstantiationException

Returns an instance of the loaded BaseRegressionPredictor by model ID

Parameters:

id - - model id (name of the jar)

Returns:

Throws:

ClassNotFoundException - If model id was not found in classpath

InstantiationException - If model cannot be instantiated

IllegalAccessException - If model's major version is bigger than Predictor's major version