blob: 3d224dfe7f0317198c143c3c1bb9e6390c816d6b [file] [log] [blame]
/*
* 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.samoa.learners.classifiers.trees;
import org.apache.samoa.core.ContentEvent;
/**
* Attribute Slice Event represents the instances that split into parallelismHint (no. of local stats processors - LSP)
* and send only one message per LSP for BoostVHT algorithm which contains that slice of the attributes along with required information
* to update the class observers.
*
*/
public class AttributeSliceEvent implements ContentEvent{
private static final long serialVersionUID = 6752449086753238767L;
private final long learningNodeId;
private final int attributeStartingIndex;
private final transient String key;
private final boolean[] isNominalSlice;
private final double[] attributeSlice;
private final int classValue;
private final double weight;
public AttributeSliceEvent(
long learningNodeId, int attributeStartingIndex, String key, boolean[] isNominalSlice, double[] attributeSlice,
int classValue, double weight) {
this.learningNodeId = learningNodeId;
this.attributeStartingIndex = attributeStartingIndex;
this.key = key;
this.isNominalSlice = isNominalSlice;
this.attributeSlice = attributeSlice;
this.classValue = classValue;
this.weight = weight;
}
public int getClassValue() {
return classValue;
}
public double getWeight() {
return weight;
}
public long getLearningNodeId() {
return learningNodeId;
}
public int getAttributeStartingIndex() {
return attributeStartingIndex;
}
public boolean[] getIsNominalSlice() {
return isNominalSlice;
}
public double[] getAttributeSlice() {
return attributeSlice;
}
@Override
public String getKey() {
return key;
}
@Override
public void setKey(String key) {
}
@Override
public boolean isLastEvent() { // TODO
return false;
}
}