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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.horn.bsp;
import org.apache.hadoop.io.Writable;
import org.apache.hama.commons.math.DoubleFunction;
public abstract class Neuron<M extends Writable> implements NeuronInterface<M> {
double output;
double weight;
double delta;
protected DoubleFunction squashingFunction;
public void feedforward(double sum) {
// TODO Auto-generated method stub
// squashing
this.output = sum;
}
public void backpropagate(double gradient) {
// TODO Auto-generated method stub
this.delta = gradient;
}
public double getDelta() {
return delta;
}
public void setWeight(double weight) {
this.weight = weight;
}
public void setOutput(double output) {
this.output = output;
}
public double getOutput() {
return output;
}
// ////////* Below methods will communicate with parameter server */
private int i;
public void push(double weight) {
weights[i++] = weight;
}
public double getUpdate() {
return weight;
}
double[] weights;
public void setWeightVector(int rowCount) {
i = 0;
weights = new double[rowCount];
}
public double[] getWeights() {
return weights;
}
public void setSquashingFunction(DoubleFunction squashingFunction) {
this.squashingFunction = squashingFunction;
}
}