LARSLassoTrainer (Tribuo 4.2.2 API)

java.lang.Object

org.tribuo.regression.slm.SLMTrainer

org.tribuo.regression.slm.LARSLassoTrainer

All Implemented Interfaces:: com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<TrainerProvenance>, SparseTrainer<Regressor>, Trainer<Regressor>, WeightedExamples

public class LARSLassoTrainer extends SLMTrainer

A trainer for a lasso linear regression model which uses LARS to construct the model. Each output dimension is trained independently.

See:

 Efron B, Hastie T, Johnstone I, Tibshirani R.
 "Least Angle Regression"
 The Annals of Statistics, 2004.

Field Summary

Fields inherited from class org.tribuo.regression.slm.SLMTrainer
maxNumFeatures, normalize, trainInvocationCounter

Fields inherited from interface org.tribuo.Trainer
DEFAULT_SEED, INCREMENT_INVOCATION_COUNT
Constructor Summary

Constructors

Constructor

Description

LARSLassoTrainer()

Constructs a lasso LARS trainer that selects all the features.

LARSLassoTrainer(int maxNumFeatures)

Constructs a lasso LARS trainer for a linear model.
Method Summary

Modifier and Type

Method

Description

protected org.apache.commons.math3.linear.RealVector

newWeights(org.tribuo.regression.slm.SLMTrainer.SLMState state)

String

toString()

Methods inherited from class org.tribuo.regression.slm.SLMTrainer
getInvocationCount, getProvenance, setInvocationCount, train, train

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

Methods inherited from interface com.oracle.labs.mlrg.olcut.config.Configurable
postConfig

Methods inherited from interface org.tribuo.SparseTrainer
train

Constructor Details
- LARSLassoTrainer
  
  public LARSLassoTrainer(int maxNumFeatures)
  
  Constructs a lasso LARS trainer for a linear model.
  
  Parameters:
  
  maxNumFeatures - The maximum number of features to select. Supply -1 to select all features.
- LARSLassoTrainer
  
  public LARSLassoTrainer()
  
  Constructs a lasso LARS trainer that selects all the features.
Method Details
- newWeights
  
  protected org.apache.commons.math3.linear.RealVector newWeights(org.tribuo.regression.slm.SLMTrainer.SLMState state)
  
  Overrides:
  
  newWeights in class SLMTrainer
- toString
  
  public String toString()
  
  Overrides:
  
  toString in class SLMTrainer