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/*
* 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);
}