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/*
* Copyright (c) 2010-2021 Haifeng Li. All rights reserved.
*
* Smile is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* Smile is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with Smile. If not, see .
*/
package smile.classification;
import smile.data.vector.BaseVector;
import smile.util.IntSet;
/**
* Abstract base class of classifiers.
*
* @param the type of input object
*
* @author Haifeng Li
*/
public abstract class AbstractClassifier implements Classifier {
/**
* The class labels.
*/
protected final IntSet classes;
/**
* Constructor.
* @param classes the class labels.
*/
public AbstractClassifier(IntSet classes) {
this.classes = classes;
}
/**
* Constructor.
* @param y the sample labels.
*/
public AbstractClassifier(int[] y) {
this.classes = ClassLabels.fit(y).classes;
}
/**
* Constructor.
* @param y the sample labels.
*/
public AbstractClassifier(BaseVector, ?, ?> y) {
this.classes = ClassLabels.fit(y).classes;
}
@Override
public int numClasses() {
return classes.size();
}
@Override
public int[] classes() {
return classes.values;
}
}
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