d4ec06a32d02cabc1d090cbdeb35f99e8d4504fa
Files Diff
- Added: 7
- Removed: 1
- Renamed: 0
- Modified: 6
Refactorings reported:
| Refactoring Name | Occurences | ||
|---|---|---|---|
| Change Parameter Type | 5 | ||
| Change Parameter Type fn : AbstractFunction<T> to fn : AbstractDifferentiableFunction<T> in method public GradientWorker(mainWorker TrainingWorker<T>, threadIdx int, numThreads int, queue List<T>, fn AbstractDifferentiableFunction<T>, weights ConcatVector) in class edu.stanford.nlp.loglinear.learning.AbstractBatchOptimizer.GradientWorker | From | To | |
| Change Parameter Type fn : AbstractFunction<T> to fn : AbstractDifferentiableFunction<T> in method public optimize(dataset T[], fn AbstractDifferentiableFunction<T>, initialWeights ConcatVector, l2regularization double) : ConcatVector in class edu.stanford.nlp.loglinear.learning.AbstractBatchOptimizer | From | To | |
| Change Parameter Type fn : AbstractFunction<T> to fn : AbstractDifferentiableFunction<T> in method private getValueSum(dataset T[], weights ConcatVector, fn AbstractDifferentiableFunction<T>, l2regularization double) : double in class edu.stanford.nlp.loglinear.learning.OptimizerTests | From | To | |
| Change Parameter Type fn : AbstractFunction<T> to fn : AbstractDifferentiableFunction<T> in method public optimize(dataset T[], fn AbstractDifferentiableFunction<T>) : ConcatVector in class edu.stanford.nlp.loglinear.learning.AbstractBatchOptimizer | From | To | |
| Change Parameter Type fn : AbstractFunction<T> to fn : AbstractDifferentiableFunction<T> in method public TrainingWorker(dataset T[], fn AbstractDifferentiableFunction<T>, initialWeights ConcatVector, l2regularization double) in class edu.stanford.nlp.loglinear.learning.AbstractBatchOptimizer.TrainingWorker | From | To | |
| Rename Class | 1 | ||
| Rename Class edu.stanford.nlp.loglinear.learning.AbstractFunction renamed to edu.stanford.nlp.loglinear.learning.AbstractDifferentiableFunction | From | To | |
| Change Variable Type | 3 | ||
| Change Variable Type summary : AbstractFunction.FunctionSummaryAtPoint to summary : AbstractDifferentiableFunction.FunctionSummaryAtPoint in method public run() : void in class edu.stanford.nlp.loglinear.learning.AbstractBatchOptimizer.GradientWorker | From | To | |
| Change Variable Type ll : AbstractFunction<GraphicalModel> to ll : AbstractDifferentiableFunction<GraphicalModel> in method public testOptimizeLogLikelihood(optimizer AbstractBatchOptimizer, dataset GraphicalModel[], initialWeights ConcatVector, l2regularization double) : void in class edu.stanford.nlp.loglinear.learning.OptimizerTests | From | To | |
| Change Variable Type summary : AbstractFunction.FunctionSummaryAtPoint to summary : AbstractDifferentiableFunction.FunctionSummaryAtPoint in method public run() : void in class edu.stanford.nlp.loglinear.learning.AbstractBatchOptimizer.TrainingWorker | From | To | |
| Change Attribute Type | 2 | ||
| Change Attribute Type fn : AbstractFunction<T> to fn : AbstractDifferentiableFunction<T> in class edu.stanford.nlp.loglinear.learning.AbstractBatchOptimizer.TrainingWorker | From | To | |
| Change Attribute Type fn : AbstractFunction<T> to fn : AbstractDifferentiableFunction<T> in class edu.stanford.nlp.loglinear.learning.AbstractBatchOptimizer.GradientWorker | From | To |