parent
1cdaba9d5a
commit
7929e10a8f
|
@ -57,7 +57,7 @@ If the output is not quite correct, check for invisible trailing spaces!
|
|||
<action dev="erans" type="add" issue="MATH-1270">
|
||||
Various SOFM visualizations (in package "o.a.c.m.ml.neuralnet.twod.util"):
|
||||
Unified distance matrix, hit histogram, smoothed data histograms,
|
||||
topographic error.
|
||||
topographic error, quantization error.
|
||||
</action>
|
||||
<action dev="erans" type="add" issue="MATH-1268">
|
||||
New interfaces to be implemented by algorithms that visualizes properties
|
||||
|
|
|
@ -0,0 +1,76 @@
|
|||
/*
|
||||
* 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.commons.math3.ml.neuralnet.twod.util;
|
||||
|
||||
import org.apache.commons.math3.ml.neuralnet.MapUtils;
|
||||
import org.apache.commons.math3.ml.neuralnet.Neuron;
|
||||
import org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D;
|
||||
import org.apache.commons.math3.ml.distance.DistanceMeasure;
|
||||
|
||||
/**
|
||||
* Computes the quantization error histogram.
|
||||
* Each bin will contain the average of the distances between samples
|
||||
* mapped to the corresponding unit and the weight vector of that unit.
|
||||
*/
|
||||
public class QuantizationError implements MapDataVisualization {
|
||||
/** Distance. */
|
||||
private final DistanceMeasure distance;
|
||||
|
||||
/**
|
||||
* @param distance Distance.
|
||||
*/
|
||||
public QuantizationError(DistanceMeasure distance) {
|
||||
this.distance = distance;
|
||||
}
|
||||
|
||||
/** {@inheritDoc} */
|
||||
@Override
|
||||
public double[][] computeImage(NeuronSquareMesh2D map,
|
||||
Iterable<double[]> data) {
|
||||
final int nR = map.getNumberOfRows();
|
||||
final int nC = map.getNumberOfColumns();
|
||||
|
||||
final LocationFinder finder = new LocationFinder(map);
|
||||
|
||||
// Hit bins.
|
||||
final int[][] hit = new int[nR][nC];
|
||||
// Error bins.
|
||||
final double[][] error = new double[nR][nC];
|
||||
|
||||
for (double[] sample : data) {
|
||||
final Neuron best = MapUtils.findBest(sample, map, distance);
|
||||
|
||||
final LocationFinder.Location loc = finder.getLocation(best);
|
||||
final int row = loc.getRow();
|
||||
final int col = loc.getColumn();
|
||||
hit[row][col] += 1;
|
||||
error[row][col] += distance.compute(sample, best.getFeatures());
|
||||
}
|
||||
|
||||
for (int r = 0; r < nR; r++) {
|
||||
for (int c = 0; c < nC; c++) {
|
||||
final int count = hit[r][c];
|
||||
if (count != 0) {
|
||||
error[r][c] /= count;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return error;
|
||||
}
|
||||
}
|
Loading…
Reference in New Issue