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org.numenta.nupic.encoders.SparsePassThroughEncoder Maven / Gradle / Ivy
/* ---------------------------------------------------------------------
* Numenta Platform for Intelligent Computing (NuPIC)
* Copyright (C) 2014, Numenta, Inc. Unless you have an agreement
* with Numenta, Inc., for a separate license for this software code, the
* following terms and conditions apply:
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License version 3 as
* published by the Free Software Foundation.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
* See the GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see http://www.gnu.org/licenses.
*
* http://numenta.org/licenses/
* ---------------------------------------------------------------------
*/
package org.numenta.nupic.encoders;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.Arrays;
/**
* Sparse Pass Through Encoder
* Convert a bitmap encoded as array indices to an SDR
* Each encoding is an SDR in which w out of n bits are turned on.
* The input should be an array or string of indices to turn on
* Note: the value for n must equal input length * w
* i.e. for n=8 w=1 [0,2,5] => 101001000
* or for n=8 w=1 "0,2,5" => 101001000
* i.e. for n=24 w=3 [0,2,5] => 111000111000000111000000000
* or for n=24 w=3 "0,2,5" => 111000111000000111000000000
*
* @author wilsondy (from Python original)
*/
public class SparsePassThroughEncoder extends PassThroughEncoder {
private SparsePassThroughEncoder() { super(); }
private static final Logger LOGGER = LoggerFactory.getLogger(SparsePassThroughEncoder.class);
public SparsePassThroughEncoder(int outputWidth, Integer outputBitsOnCount) {
super(outputWidth, outputBitsOnCount);
LOGGER.info("Building new SparsePassThroughEncoder instance, outputWidth: {} outputBitsOnCount: {}", outputWidth);
}
/**
* Returns a builder for building SparsePassThroughEncoders.
* This builder may be reused to produce multiple builders
*
* @return a {@code SparsePassThroughEncoder.Builder}
*/
public static Encoder.Builder sparseBuilder() {
return new SparsePassThroughEncoder.Builder();
}
@Override
/**
* Convert the array of indices to a bit array and then pass to parent.
*/
public void encodeIntoArray(int[] input, int[] output) {
int[] denseInput = new int[output.length];
for (int i : input) {
if (i > denseInput.length)
throw new IllegalArgumentException(String.format("Output bit count set too low, need at least %d bits", i));
denseInput[i] = 1;
}
super.encodeIntoArray(denseInput, output);
LOGGER.trace("Input: {} \nOutput: {} \n", Arrays.toString(input), Arrays.toString(output));
}
/**
* Returns a {@link Encoder.Builder} for constructing {@link SparsePassThroughEncoder}s
*
* The base class architecture is put together in such a way where boilerplate
* initialization can be kept to a minimum for implementing subclasses, while avoiding
* the mistake-proneness of extremely long argument lists.
*/
public static class Builder extends Encoder.Builder {
private Builder() {}
@Override
public SparsePassThroughEncoder build() {
//Must be instantiated so that super class can initialize
//boilerplate variables.
encoder = new SparsePassThroughEncoder();
//Call super class here
super.build();
////////////////////////////////////////////////////////
// Implementing classes would do setting of specific //
// vars here together with any sanity checking //
////////////////////////////////////////////////////////
((SparsePassThroughEncoder) encoder).init();
return (SparsePassThroughEncoder) encoder;
}
}
}
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