package de.jungblut.classification;

import java.util.Arrays;

import com.google.common.base.Preconditions;
import com.google.common.collect.Iterables;

import de.jungblut.math.DoubleVector;

/**
 * Abstract base class for classifiers.
 * 
 * @author thomas.jungblut
 * 
 */
public abstract class AbstractClassifier extends AbstractPredictor implements
    Classifier {

  @Override
  public void train(DoubleVector[] features, DoubleVector[] outcome) {
    Preconditions.checkArgument(features.length > 0,
        "Features must contain at least a single item!");
    Preconditions.checkArgument(features.length == outcome.length,
        "There must be an equal amount of features and prediction outcomes!");
    train(Arrays.asList(features), Arrays.asList(outcome));
  }

  @Override
  public void train(Iterable<DoubleVector> features,
      Iterable<DoubleVector> outcome) {
    train(Iterables.toArray(features, DoubleVector.class),
        Iterables.toArray(features, DoubleVector.class));
  }
}

@@ -955,32 +955,31 @@
 les.toArray(
-features
+outcome
 , DoubleVect

fix wrong reference in abstract classifier