Class ElasticNetCDTrainer

java.lang.Object
org.tribuo.regression.slm.ElasticNetCDTrainer
All Implemented Interfaces:
com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<TrainerProvenance>, SparseTrainer<Regressor>, Trainer<Regressor>

public class ElasticNetCDTrainer extends Object implements SparseTrainer<Regressor>
An ElasticNet trainer that uses co-ordinate descent. Modelled after scikit-learn's sparse matrix implementation. Each output dimension is trained independently.

See:

 Friedman J, Hastie T, Tibshirani R.
 "Regularization Paths for Generalized Linear Models via Coordinate Descent"
 Journal of Statistical Software, 2010
 
  • Constructor Details

    • ElasticNetCDTrainer

      public ElasticNetCDTrainer(double alpha, double l1Ratio)
    • ElasticNetCDTrainer

      public ElasticNetCDTrainer(double alpha, double l1Ratio, long seed)
    • ElasticNetCDTrainer

      public ElasticNetCDTrainer(double alpha, double l1Ratio, double tolerance, int maxIterations, boolean randomise, long seed)
  • Method Details

    • postConfig

      public void postConfig()
      Used by the OLCUT configuration system, and should not be called by external code.
      Specified by:
      postConfig in interface com.oracle.labs.mlrg.olcut.config.Configurable
    • train

      public SparseModel<Regressor> train(Dataset<Regressor> examples, Map<String, com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance)
      Description copied from interface: SparseTrainer
      Trains a sparse predictive model using the examples in the given data set.
      Specified by:
      train in interface SparseTrainer<Regressor>
      Specified by:
      train in interface Trainer<Regressor>
      Parameters:
      examples - the data set containing the examples.
      runProvenance - Training run specific provenance (e.g., fold number).
      Returns:
      a predictive model that can be used to generate predictions for new examples.
    • getInvocationCount

      public int getInvocationCount()
      Description copied from interface: Trainer
      The number of times this trainer instance has had it's train method invoked.

      This is used to determine how many times the trainer's RNG has been accessed to ensure replicability in the random number stream.

      Specified by:
      getInvocationCount in interface Trainer<Regressor>
      Returns:
      The number of train invocations.
    • toString

      public String toString()
      Overrides:
      toString in class Object
    • getProvenance

      public TrainerProvenance getProvenance()
      Specified by:
      getProvenance in interface com.oracle.labs.mlrg.olcut.provenance.Provenancable<TrainerProvenance>