@Test() public void testSetTrainingEpochs() { learner.setTrainingEpochs(100); Assert.assertEquals(100,learner.getTrainingEpochs()); }
public void setTrainingEpochs(int epochs) { if (epochs <= 0) { throw new IllegalArgumentException("The number of training epochs must be greater than zero. " + "Entered value is : " + epochs); } this.epochs = epochs; }
MMPLearner extends MultiLabelLearnerBase { public void setTrainingEpochs(int epochs) { if (epochs <= 0) { throw new IllegalArgumentException("The number of training epochs must be greater than zero. " + "Entered value is : " + epochs); } this.epochs = epochs; } }
MMPLearner extends MultiLabelLearnerBase { public void setTrainingEpochs(int epochs) { if (epochs <= 0) { throw new IllegalArgumentException("The number of training epochs must be greater than zero. " + "Entered value is : " + epochs); } this.epochs = epochs; } MMPLearner();  MMPLearner(RankingLossFunction lossMeasure, MMPUpdateRuleType modelUpdateRule);  MMPLearner(RankingLossFunction lossMeasure, MMPUpdateRuleType modelUpdateRule, long randomnessSeed); }
MMPLearner extends MultiLabelLearnerBase { public void setTrainingEpochs(int epochs) { if (epochs <= 0) { throw new IllegalArgumentException("The number of training epochs must be greater than zero. " + "Entered value is : " + epochs); } this.epochs = epochs; } MMPLearner();  MMPLearner(RankingLossFunction lossMeasure, MMPUpdateRuleType modelUpdateRule);  MMPLearner(RankingLossFunction lossMeasure, MMPUpdateRuleType modelUpdateRule, long randomnessSeed); void setTrainingEpochs(int epochs); int getTrainingEpochs(); void setConvertNominalToBinary(boolean convert); boolean getConvertNominalToBinary(); @Override boolean isUpdatable(); @Override MultiLabelOutput makePredictionInternal(Instance instance); @Override TechnicalInformation getTechnicalInformation(); String globalInfo(); }
MMPLearner extends MultiLabelLearnerBase { public void setTrainingEpochs(int epochs) { if (epochs <= 0) { throw new IllegalArgumentException("The number of training epochs must be greater than zero. " + "Entered value is : " + epochs); } this.epochs = epochs; } MMPLearner();  MMPLearner(RankingLossFunction lossMeasure, MMPUpdateRuleType modelUpdateRule);  MMPLearner(RankingLossFunction lossMeasure, MMPUpdateRuleType modelUpdateRule, long randomnessSeed); void setTrainingEpochs(int epochs); int getTrainingEpochs(); void setConvertNominalToBinary(boolean convert); boolean getConvertNominalToBinary(); @Override boolean isUpdatable(); @Override MultiLabelOutput makePredictionInternal(Instance instance); @Override TechnicalInformation getTechnicalInformation(); String globalInfo();  }