.name("Change in scores"); iterative.registerAggregationConvergenceCriterion(CHANGE_IN_SCORES, new DoubleSumAggregator(), new ScoreConvergence(convergenceThreshold)); } else { passThrough = adjustedScores;
.name("Change in scores"); iterative.registerAggregationConvergenceCriterion(CHANGE_IN_SCORES, new DoubleSumAggregator(), new ScoreConvergence(convergenceThreshold)); } else { passThrough = scores;
.registerAggregationConvergenceCriterion("ELBO_" + this.getName(), new DoubleSumAggregator(),convergenceELBO);
.registerAggregationConvergenceCriterion("ELBO_" + this.dag.getName(), new DoubleSumAggregator(),convergenceELBO);
.registerAggregationConvergenceCriterion("ELBO_" + this.dag.getName(), new DoubleSumAggregator(),convergenceELBO);
.registerAggregationConvergenceCriterion("ELBO_" + this.dag.getName(), new DoubleSumAggregator(),convergenceELBO);
.registerAggregationConvergenceCriterion("ELBO_" + this.dagTimeT.getName(), new DoubleSumAggregator(), new eu.amidst.flinklink.core.learning.parametric.ParallelVB.ConvergenceELBO( this.globalThreshold, System.nanoTime()));
.name("Change in scores"); iterative.registerAggregationConvergenceCriterion(CHANGE_IN_SCORES, new DoubleSumAggregator(), new ScoreConvergence(convergenceThreshold)); } else { passThrough = adjustedScores;
.name("Change in scores"); iterative.registerAggregationConvergenceCriterion(CHANGE_IN_SCORES, new DoubleSumAggregator(), new ScoreConvergence(convergenceThreshold)); } else { passThrough = adjustedScores;
.name("Change in scores"); iterative.registerAggregationConvergenceCriterion(CHANGE_IN_SCORES, new DoubleSumAggregator(), new ScoreConvergence(convergenceThreshold)); } else { passThrough = adjustedScores;
.name("Change in scores"); iterative.registerAggregationConvergenceCriterion(CHANGE_IN_SCORES, new DoubleSumAggregator(), new ScoreConvergence(convergenceThreshold)); } else { passThrough = scores;
.name("Change in scores"); iterative.registerAggregationConvergenceCriterion(CHANGE_IN_SCORES, new DoubleSumAggregator(), new ScoreConvergence(convergenceThreshold)); } else { passThrough = scores;
.name("Change in scores"); iterative.registerAggregationConvergenceCriterion(CHANGE_IN_SCORES, new DoubleSumAggregator(), new ScoreConvergence(convergenceThreshold)); } else { passThrough = scores;