| /* |
| * Licensed to the Apache Software Foundation (ASF) under one |
| * or more contributor license agreements. See the NOTICE file |
| * distributed with this work for additional information |
| * regarding copyright ownership. The ASF licenses this file |
| * to you 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. |
| */ |
| package org.apache.opennlp.utils.regression; |
| |
| /** |
| * An {@link Hypothesis} maps a series of inputs to an output |
| */ |
| public interface Hypothesis { |
| |
| /** |
| * calculate the output given some inputs according to the underlying model. |
| * |
| * @param inputs an array of inputs as <code>double</code> |
| * @return a <code>double</code> representing the output |
| */ |
| public double calculateOutput(double[] inputs); |
| |
| /** |
| * update the internal model's parameters. |
| * |
| * @param parameters an array of <code>double</code> containing the updated parameters |
| */ |
| public void updateParameters(double[] parameters); |
| } |