package roart.model;

public class LearnTestClassify {
    private Object[][] trainingarray;

    private Object[] trainingcatarray;
    
    private Object[][] classifyarray;

    private Object[] classifycatarray;

    private int modelInt;
    
    private int size;
    
    private String period;
    
    private String mapname;
    
    private int outcomes;
    
    private Double accuracy;

    public LearnTestClassify() {
        super();
    }

    public Object[][] getTrainingarray() {
        return trainingarray;
    }

    public void setTrainingarray(Object[][] trainingarray) {
        this.trainingarray = trainingarray;
    }

    public Object[] getTrainingcatarray() {
        return trainingcatarray;
    }

    public void setTrainingcatarray(Object[] catarray) {
        this.trainingcatarray = catarray;
    }

    public Object[][] getClassifyarray() {
        return classifyarray;
    }

    public void setClassifyarray(Object[][] classifyarray) {
        this.classifyarray = classifyarray;
    }

    public Object[] getClassifycatarray() {
        return classifycatarray;
    }

    public void setClassifycatarray(Object[] classifycatarray) {
        this.classifycatarray = classifycatarray;
    }

    public int getModelInt() {
        return modelInt;
    }

    public void setModelInt(int modelInt) {
        this.modelInt = modelInt;
    }

    public int getSize() {
        return size;
    }

    public void setSize(int size) {
        this.size = size;
    }

    public String getPeriod() {
        return period;
    }

    public void setPeriod(String period) {
        this.period = period;
    }

    public String getMapname() {
        return mapname;
    }

    public void setMapname(String mapname) {
        this.mapname = mapname;
    }

    public int getOutcomes() {
        return outcomes;
    }

    public void setOutcomes(int outcomes) {
        this.outcomes = outcomes;
    }

    public Double getAccuracy() {
        return accuracy;
    }

    public void setAccuracy(Double accuracy) {
        this.accuracy = accuracy;
    }

}

@@ -19,40 +19,323 @@
 l;%0A%0A
-public class LearnTestClassify %7B
+import roart.ml.TensorflowDNNConfig;%0Aimport roart.ml.TensorflowDNNLConfig;%0Aimport roart.ml.TensorflowLConfig;%0A%0Apublic class LearnTestClassify %7B%0A    private TensorflowDNNConfig tensorflowDNNConfig;%0A    %0A    private TensorflowDNNLConfig tensorflowDNNLConfig;%0A    %0A    private TensorflowLConfig tensorflowLConfig;%0A    
 %0A   
@@ -485,32 +485,73 @@
 ssifycatarray;%0A%0A
+    private Object%5B%5D classifyprobarray;%0A%0A
     private int 
@@ -714,24 +714,754 @@
  accuracy;%0A%0A
+    public TensorflowDNNConfig getTensorflowDNNConfig() %7B%0A        return tensorflowDNNConfig;%0A    %7D%0A%0A    public void setTensorflowDNNConfig(TensorflowDNNConfig tensorflowDNNConfig) %7B%0A        this.tensorflowDNNConfig = tensorflowDNNConfig;%0A    %7D%0A%0A    public TensorflowDNNLConfig getTensorflowDNNLConfig() %7B%0A        return tensorflowDNNLConfig;%0A    %7D%0A%0A    public void setTensorflowDNNLConfig(TensorflowDNNLConfig tensorflowDNNLConfig) %7B%0A        this.tensorflowDNNLConfig = tensorflowDNNLConfig;%0A    %7D%0A%0A    public TensorflowLConfig getTensorflowLConfig() %7B%0A        return tensorflowLConfig;%0A    %7D%0A%0A    public void setTensorflowLConfig(TensorflowLConfig tensorflowLConfig) %7B%0A        this.tensorflowLConfig = tensorflowLConfig;%0A    %7D%0A%0A
     public L
@@ -2277,32 +2277,244 @@
 atarray;%0A    %7D%0A%0A
+    public Object%5B%5D getClassifyprobarray() %7B%0A        return classifyprobarray;%0A    %7D%0A%0A    public void setClassifyprobarray(Object%5B%5D classifyprobarray) %7B%0A        this.classifyprobarray = classifyprobarray;%0A    %7D%0A%0A
     public int g

Add NN config.