/*
* Artificial Intelligence for Humans
* Volume 3: Deep Learning and Neural Networks
* Java Version
* http://www.aifh.org
* http://www.jeffheaton.com
*
* Code repository:
* https://github.com/jeffheaton/aifh
*
* Copyright 2014-2015 by Jeff Heaton
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package com.heatonresearch.aifh.selection;
import java.util.ArrayList;
import java.util.List;
/**
* Base class for model selection searches.
*/
public abstract class ModelSelection {
/**
* The axes.
*/
private final List<SearchAxis> searchAxises = new ArrayList<SearchAxis>();
/**
* @return The search axes.
*/
public List<SearchAxis> getSearchAxises() {
return this.searchAxises;
}
/**
* Add a numeric axis.
* @param start The start of the axis.
* @param stop The end of the axis.
* @param step The step.
*/
public void addNumericAxis(double start, double stop, double step) {
this.searchAxises.add(new NumericSearchAxis(start,stop,step));
}
/**
* Add a category axis.
* @param list The list of categories.
*/
public void addCategoryAxis(String[] list) {
this.searchAxises.add(new CategorySearchAxis(list));
}
/**
* Get the next element to search.
* @return The next element to search.
*/
public abstract Object[] next();
}