blob: d1d484843d1af27a74c1dc9501180002171f02f9 [file] [log] [blame]
package org.apache.samoa.instances;
/*
* #%L
* SAMOA
* %%
* Copyright (C) 2014 - 2015 Apache Software Foundation
* %%
* 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.
* #L%
*/
/**
* The Class FilteredSparseInstanceData.
* <p>
* This class is an extension to the original SparseInstanceData.
* It has been created to be used with feature selection
* algorithms for data streams.
* In contrast to SparseInstanceData objects, missing values are
* represented as NaNs instead of 0s (zeros).
* This allows learners to skip features with missing values.
*
* @author Jean Paul Barddal
*/
public class FilteredSparseInstanceData extends SparseInstanceData {
/**
* Instantiates a new sparse instance data.
*
* @param attributeValues the attribute values
* @param indexValues the index values
* @param numberAttributes the number attributes
*/
public FilteredSparseInstanceData(double[] attributeValues, int[] indexValues, int numberAttributes) {
super(attributeValues, indexValues, numberAttributes);
}
/**
* Value of the attribute in the indexAttribute position.
* If this value is absent, a NaN value (marker of missing value)
* is returned, otherwise this method returns the actual value.
*
* @param indexAttribute the index attribute
* @return the double
*/
@Override
public double value(int indexAttribute) {
int location = locateIndex(indexAttribute);
if ((location >= 0) && (indexValues[location] == indexAttribute)) {
return attributeValues[location];
} else {
// returns a NaN value which represents missing values instead of a 0 (zero)
return Double.NaN;
}
}
}