/*
* 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 ml.shifu.shifu.core.binning;
import java.util.ArrayList;
import java.util.List;
import org.apache.commons.lang.StringUtils;
/**
* EqualIntervalBinning class
*/
public class EqualIntervalBinning extends AbstractBinning<Double> {
private double maxVal = -Double.MAX_VALUE;
private double minVal = Double.MAX_VALUE;
protected EqualIntervalBinning() {
}
/**
* Constructor with expected bin number
*
* @param binningNum
* the binningNum
*/
public EqualIntervalBinning(int binningNum) {
this(binningNum, null);
}
/**
* Constructor with expected bin number and missing value list
*
* @param binningNum
* the binningNum
* @param missingValList
* the missing value list
*/
public EqualIntervalBinning(int binningNum, List<String> missingValList) {
super(binningNum, missingValList);
}
/*
* Add the value (in format of text) into histogram with frequency 1.
* First of all the input string will be trimmed and check whether it is missing value or not
* If it is missing value, the missing value count will +1
* After that, the input string will be parsed into double. If it is not a double, invalid value count will +1
*
* @see ml.shifu.shifu.core.binning.AbstractBinning#addData(java.lang.Object)
*/
@Override
public void addData(String val) {
String fval = StringUtils.trimToEmpty(val);
if(!isMissingVal(fval)) {
double dval = 0;
try {
dval = Double.parseDouble(fval);
} catch (NumberFormatException e) {
// not a number? just ignore
super.incInvalidValCnt();
return;
}
process(dval);
} else {
super.incMissingValCnt();
}
}
/*
* (non-Javadoc)
*
* @see ml.shifu.shifu.core.binning.AbstractBinning#getDataBin()
*/
@Override
public List<Double> getDataBin() {
List<Double> binBorders = new ArrayList<Double>();
if(maxVal < minVal) {
// no data, just return empty
return binBorders;
}
double delta = (maxVal - minVal) * 0.0005;
double startVal = minVal - delta;
double endVal = maxVal + delta;
double binInterval = (endVal - startVal) / super.expectedBinningNum;
double val = startVal;
for(int i = 0; i < super.expectedBinningNum; i++) {
binBorders.add(val);
val = val + binInterval;
}
binBorders.add(endVal);
return binBorders;
}
/**
* Process the new incoming data
*
* @param dval
* double value to be processed
*/
private void process(double dval) {
if(dval < this.minVal) {
this.minVal = dval;
}
if(dval > this.maxVal) {
this.maxVal = dval;
}
}
/*
* (non-Javadoc)
*
* @see ml.shifu.shifu.core.binning.AbstractBinning#mergeBin(ml.shifu.shifu.core.binning.AbstractBinning)
*/
@Override
public void mergeBin(AbstractBinning<?> another) {
EqualIntervalBinning binning = (EqualIntervalBinning) another;
super.mergeBin(another);
process(binning.minVal);
process(binning.maxVal);
}
protected void stringToObj(String objValStr) {
super.stringToObj(objValStr);
String[] objStrArr = objValStr.split(Character.toString(FIELD_SEPARATOR), -1);
maxVal = Double.parseDouble(objStrArr[4]);
minVal = Double.parseDouble(objStrArr[5]);
}
public String objToString() {
return super.objToString() + Character.toString(FIELD_SEPARATOR) + Double.toString(maxVal)
+ Character.toString(FIELD_SEPARATOR) + Double.toString(minVal);
}
}