edu.uci.jforestsx.learning.boosting.GradientBoostingConfig Maven / Gradle / Ivy
/**
* 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 edu.uci.jforestsx.learning.boosting;
import java.util.Map.Entry;
import edu.uci.jforestsx.config.ComponentConfig;
import edu.uci.jforestsx.util.ConfigHolder;
/**
* @author Yasser Ganjisaffar
*/
public class GradientBoostingConfig extends ComponentConfig {
private final static String NUM_TREES = "boosting.num-trees";
public int numTrees = 100;
private final static String LEARNING_RATE = "boosting.learning-rate";
public double learningRate = 1.0;
private final static String IMBALANCE_COST_ADJUSTMENT = "boosting.imbalance-cost-adjustment";
public boolean imbalanceCostAdjustment = true;
private final static String SAMPLING_RATE = "boosting.sub-sampling";
public double samplingRate = 1.0;
private final static String EARLY_STOPPING_TOLERANCE = "boosting.early-stopping-tolerance";
public double earlyStoppingTolerance = 0.0;
public void init(ConfigHolder config) {
for (Entry entry : config.getEntries()) {
String key = ((String) entry.getKey()).toLowerCase();
String value = (String) entry.getValue();
if (key.equals(NUM_TREES)) {
numTrees = Integer.parseInt(value);
} else if (key.equals(LEARNING_RATE)) {
learningRate = Double.parseDouble(value);
} else if (key.equals(IMBALANCE_COST_ADJUSTMENT)) {
imbalanceCostAdjustment = value.equals("true");
} else if (key.equals(SAMPLING_RATE)) {
samplingRate = Double.parseDouble(value);
} else if (key.equals(EARLY_STOPPING_TOLERANCE)) {
earlyStoppingTolerance = Double.parseDouble(value);
}
}
}
@Override
public String toString() {
StringBuilder sb = new StringBuilder();
sb.append(NUM_TREES + ": " + numTrees + "\n");
sb.append(LEARNING_RATE + ": " + learningRate + "\n");
sb.append(IMBALANCE_COST_ADJUSTMENT + ": " + imbalanceCostAdjustment + "\n");
sb.append(SAMPLING_RATE + ": " + samplingRate);
sb.append(EARLY_STOPPING_TOLERANCE + ": " + earlyStoppingTolerance + "\n");
return sb.toString();
}
}