/**
* 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.hama.ml.writable;
import java.io.DataInput;
import java.io.DataOutput;
import java.io.IOException;
import org.apache.hadoop.io.Writable;
import org.apache.hama.ml.math.DenseDoubleMatrix;
import org.apache.hama.ml.math.DoubleMatrix;
/**
* Majorly designed for dense matrices, can be extended for sparse ones as well.
*/
public final class MatrixWritable implements Writable {
private DoubleMatrix mat;
public MatrixWritable() {
}
public MatrixWritable(DoubleMatrix mat) {
this.mat = mat;
}
@Override
public void readFields(DataInput in) throws IOException {
mat = read(in);
}
@Override
public void write(DataOutput out) throws IOException {
write(mat, out);
}
public static void write(DoubleMatrix mat, DataOutput out) throws IOException {
out.writeInt(mat.getRowCount());
out.writeInt(mat.getColumnCount());
for (int row = 0; row < mat.getRowCount(); row++) {
for (int col = 0; col < mat.getColumnCount(); col++) {
out.writeDouble(mat.get(row, col));
}
}
}
public static DoubleMatrix read(DataInput in) throws IOException {
DoubleMatrix mat = new DenseDoubleMatrix(in.readInt(), in.readInt());
for (int row = 0; row < mat.getRowCount(); row++) {
for (int col = 0; col < mat.getColumnCount(); col++) {
mat.set(row, col, in.readDouble());
}
}
return mat;
}
}