algorithms-for-computing-li.../LinearRegressionTool/src/main/java/de/wwwu/awolf/model/communication/EvaluationData.java

57 lines
1.4 KiB
Java

package de.wwwu.awolf.model.communication;
import de.wwwu.awolf.presenter.algorithms.Algorithm;
import java.util.List;
public class EvaluationData implements Data {
private SubscriberType type;
private List<Algorithm.Type> algorithmtypes;
private List<Double> oneColumnresult;
private List<List<String>> multipleColumnResult;
private int column;
private List<String> labels;
public List<Algorithm.Type> getAlgorithmtypes() {
return algorithmtypes;
}
public void setAlgorithmtypes(List<Algorithm.Type> algorithmtype) {
this.algorithmtypes = algorithmtype;
}
public List<Double> getOneColumnresult() {
return oneColumnresult;
}
public void setOneColumnresult(List<Double> oneColumnresult) {
this.oneColumnresult = oneColumnresult;
}
public List<List<String>> getMultipleColumnResult() {
return multipleColumnResult;
}
public void setMultipleColumnResult(List<List<String>> multipleColumnResult) {
this.multipleColumnResult = multipleColumnResult;
}
@Override
public SubscriberType getType() {
return type;
}
@Override
public void setType(SubscriberType type) {
this.type = type;
}
public void setColumn(int col) {
this.column = col;
}
public void setLabels(List<String> tableInput) {
this.labels = tableInput;
}
}