Package org.encog.ml.data.sparse

Source Code of org.encog.ml.data.sparse.SparseMLData

/*
* Encog(tm) Core v3.3 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2014 Heaton Research, Inc.
*
* Licensed 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.
*  
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.ml.data.sparse;

import java.io.Serializable;

import org.encog.ml.data.MLData;
import org.encog.ml.data.MLDataError;
import org.encog.util.EngineArray;
import org.encog.util.kmeans.Centroid;

public class SparseMLData implements MLData, Serializable, Cloneable {


  private int[] index;
 
  /**
   * The data held by this object.
   */
  private double[] data;


  /**
   * Construct this object with the specified data.
   *
   * @param d
   *            The data to construct this object with.
   */
  public SparseMLData(final double[] d) {
    this(d.length);
    System.arraycopy(d, 0, this.data, 0, d.length);
    for(int i=0;i<d.length;i++) {
      this.index[i] = i;
    }
  }
 
  /**
   * Construct this object with the specified data.
   *
   * @param d
   *            The data to construct this object with.
   */
  public SparseMLData(final double[] d, int[] i) {
    this(d.length);
    System.arraycopy(d, 0, this.data, 0, d.length);
    EngineArray.arrayCopy(d,this.data);
    EngineArray.arrayCopy(i,this.index);
  }

  /**
   * Construct this object with blank data and a specified size.
   *
   * @param size
   *            The amount of data to store.
   */
  public SparseMLData(final int size) {
    this.data = new double[size];
    this.index = new int[size];
  }

  /**
   * Construct a new BasicMLData object from an existing one. This makes a
   * copy of an array.
   *
   * @param d
   *            The object to be copied.
   */
  public SparseMLData(final MLData d) {
    this(d.size());
   
    if( d instanceof SparseMLData ) {
      SparseMLData source = (SparseMLData)d;
      EngineArray.arrayCopy(source.getSparseData(),this.data);
      EngineArray.arrayCopy(source.getSparseIndex(),this.index);
    } else {
      EngineArray.arrayCopy(d.getData(),this.data);
    }
  }
 
  public int findIndex(int index) {
    for(int i=0;i<this.index.length;i++) {
      if( this.index[i]==index)
        return i;
    }
   
    return -1;
  }

  /**
   * {@inheritDoc}
   */
  @Override
  public void add(final int index, final double value) {
    int i = findIndex(index);
    if( i==-1 ) {
      throw new MLDataError("Can't find sparse index: " + index);
    }
    this.data[index] += value;
  }

  /**
   * {@inheritDoc}
   */
  @Override
  public void clear() {
    for (int i = 0; i < this.data.length; i++) {
      this.data[i] = 0;
    }
  }

  /**
   * {@inheritDoc}
   */
  @Override
  public MLData clone() {
    return new SparseMLData(this);
  }

  /**
   * {@inheritDoc}
   */
  @Override
  public double[] getData() {
    throw new MLDataError("Can't directly access the data array of a SparseMLData object");
  }

  /**
   * {@inheritDoc}
   */
  @Override
  public double getData(final int index) {
    int i = findIndex(index);
    if( i==-1 ) {
      throw new MLDataError("Can't find sparse index: " + index);
    }
    return this.data[i];
  }

  /**
   * {@inheritDoc}
   */
  @Override
  public void setData(final double[] theData) {
    throw new MLDataError("Can't directly access the data array of a SparseMLData object");
  }

  /**
   * {@inheritDoc}
   */
  @Override
  public void setData(final int index, final double d) {
    int i = findIndex(index);
    if( i==-1 ) {
      throw new MLDataError("Can't find sparse index: " + index);
    }
    this.data[i] = d;
  }

  /**
   * {@inheritDoc}
   */
  @Override
  public int size() {
    return this.data.length;
  }

  /**
   * {@inheritDoc}
   */
  @Override
  public String toString() {
    final StringBuilder builder = new StringBuilder("[");
    builder.append(this.getClass().getSimpleName());
    builder.append(":");
    for (int i = 0; i < this.data.length; i++) {
      if (i != 0) {
        builder.append(',');
      }
      builder.append(this.index[i]);
      builder.append(':');
      builder.append(this.data[i]);
    }
    builder.append("]");
    return builder.toString();
  }
 
  public int[] getSparseIndex() {
    return this.index;
  }
 
  public double[] getSparseData() {
    return this.data;
  }

  @Override
  public Centroid<MLData> createCentroid() {
    return null;
  }
 
 
}
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