private Double convergenceThreshold = Double.valueOf(0.0);
private Integer numTrainEpochs = Integer.valueOf(100);
private Integer epochsPerIteration = Integer.valueOf(1);
private Boolean sampleNegOnly = Boolean.FALSE;
private Boolean trainOnDisk = Boolean.FALSE;
<BUG>private Boolean fixInitInput = Boolean.FALSE;
private Boolean isContinuous = Boolean.FALSE;</BUG>
private Boolean isCrossOver = Boolean.FALSE;
private Integer workerThreadCount = 4;
private Double upSampleWeight = Double.valueOf(1d);

private Double convergenceThreshold = Double.valueOf(0.0);
private Integer numTrainEpochs = Integer.valueOf(100);
private Integer epochsPerIteration = Integer.valueOf(1);
private Boolean sampleNegOnly = Boolean.FALSE;
private Boolean trainOnDisk = Boolean.FALSE;
private Boolean fixInitInput = Boolean.FALSE;
private Boolean stratifiedSample = Boolean.FALSE;
private Boolean isContinuous = Boolean.FALSE;
private Boolean isCrossOver = Boolean.FALSE;
private Integer workerThreadCount = 4;
private Double upSampleWeight = Double.valueOf(1d);
