| /* |
| * 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.iotdb.tsfile.encoding.fire; |
| |
| /** |
| * This class is used for Fast Integer REgression in Sprintz encoding method.Users can create a Fire |
| * object and use it to train and predict the time-ordered integer-like data. |
| */ |
| public abstract class Fire<T extends Comparable<T>> { |
| // Learning rate by binary shift |
| protected int learnShift; |
| // the bit width of the data to be predicted |
| protected int bitWidth; |
| // accumulate the regression loss |
| protected int accumulator; |
| // store the difference of predicted value and the real value temporarily |
| protected T delta; |
| |
| public Fire(int learning_rate) { |
| learnShift = learning_rate; |
| } |
| |
| /** |
| * predict the incoming integer using the last value |
| * |
| * @param value the last value |
| * @return the predicted value |
| */ |
| public abstract T predict(T value); |
| |
| /** |
| * train the learning machine with the last prediction |
| * |
| * @param pre last value to be predicted |
| * @param val current value to be predicted |
| * @param err the predictive error of current value |
| */ |
| public abstract void train(T pre, T val, T err); |
| } |