/* * 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(); }