
org.datacleaner.components.machinelearning.impl.ScaledMinMaxFeatureModifierBuilder Maven / Gradle / Ivy
/**
* DataCleaner (community edition)
* Copyright (C) 2014 Free Software Foundation, Inc.
*
* This copyrighted material is made available to anyone wishing to use, modify,
* copy, or redistribute it subject to the terms and conditions of the GNU
* Lesser General Public License, 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 Lesser General Public License
* for more details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with this distribution; if not, write to:
* Free Software Foundation, Inc.
* 51 Franklin Street, Fifth Floor
* Boston, MA 02110-1301 USA
*/
package org.datacleaner.components.machinelearning.impl;
import org.datacleaner.components.convert.ConvertToNumberTransformer;
import org.datacleaner.components.machinelearning.api.MLFeatureModifier;
import org.datacleaner.components.machinelearning.api.MLFeatureModifierBuilder;
public class ScaledMinMaxFeatureModifierBuilder implements MLFeatureModifierBuilder {
private Double min;
private Double max;
@Override
public void addRecordValue(Object value) {
final Number n = ConvertToNumberTransformer.transformValue(value);
if (n != null) {
synchronized (this) {
if (min == null) {
min = n.doubleValue();
max = n.doubleValue();
} else {
if (n.doubleValue() < min.doubleValue()) {
min = n.doubleValue();
}
if (n.doubleValue() > max.doubleValue()) {
max = n.doubleValue();
}
}
}
}
}
@Override
public MLFeatureModifier build() {
if (min == null) {
// we have to set SOME value, so scaling between 0 and 1000
min = 0d;
max = 1000d;
}
if (min.doubleValue() == max.doubleValue()) {
// there has to be SOME span of values, so adding/subtracting 100
min = min - 100d;
max = max + 100d;
}
return new ScaledMinMaxFeatureModifier(min, max);
}
}
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