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Generate fake data for regression analysis
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/* fake-data-maker : Generate fake data for machine learning
*
* Copyright (c) 2019 Tom Misawa, [email protected]
*
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
* the rights to use, copy, modify, merge, publish, distribute, sublicense,
* and/or sell copies of the Software, and to permit persons to whom the
* Software is furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
* DEALINGS IN THE SOFTWARE.
*
*/
package org.riversun.ml.fakedatamaker;
import java.util.Map;
import org.riversun.ml.fakedatamaker.AttributeNumeric.AttributeNumericValue;
/**
*
* @author Tom Misawa ([email protected])
*/
public class AttributeCheck {
private Map valueMap;
public AttributeCheck(Map valueMap) {
this.valueMap = valueMap;
}
public boolean nominalEquals(String label, String nominalValue) {
AttributeNominal nominal = (AttributeNominal) valueMap.get(label);
if (nominal.name.equals(nominalValue)) {
return true;
}
return false;
}
public boolean numericEquals(String label, double numericValue) {
AttributeNumericValue numeric = (AttributeNumericValue) valueMap.get(label);
if (numeric.numericValue == numericValue) {
return true;
}
return false;
}
}
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