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Move Method private initTensorDerivatives(map TwoDimensionalMap<String,String,SimpleTensor>) : TwoDimensionalMap<String,String,SimpleTensor> from class edu.stanford.nlp.sentiment.SentimentCostAndGradient.ModelDerivatives to private initTensorDerivatives(map TwoDimensionalMap<String,String,SimpleTensor>) : TwoDimensionalMap<String,String,SimpleTensor> from class edu.stanford.nlp.sentiment.SentimentCostAndGradient |
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Move Method private initDerivatives(map TwoDimensionalMap<String,String,SimpleMatrix>) : TwoDimensionalMap<String,String,SimpleMatrix> from class edu.stanford.nlp.sentiment.SentimentCostAndGradient.ModelDerivatives to private initDerivatives(map TwoDimensionalMap<String,String,SimpleMatrix>) : TwoDimensionalMap<String,String,SimpleMatrix> from class edu.stanford.nlp.sentiment.SentimentCostAndGradient |
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Move Method private initDerivatives(map Map<String,SimpleMatrix>) : Map<String,SimpleMatrix> from class edu.stanford.nlp.sentiment.SentimentCostAndGradient.ModelDerivatives to private initDerivatives(map Map<String,SimpleMatrix>) : Map<String,SimpleMatrix> from class edu.stanford.nlp.sentiment.SentimentCostAndGradient |
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Inline Method private initializeParamRange(func Function, x double[]) : Set<Integer> inlined to private l1NormOWL(x double[], func Function) : double in class edu.stanford.nlp.optimization.QNMinimizer |
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Inline Method private initializeParamRange(func Function, x double[]) : Set<Integer> inlined to private constrainSearchDir(dir double[], fg double[], x double[], func Function) : void in class edu.stanford.nlp.optimization.QNMinimizer |
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Inline Method private initializeParamRange(func Function, x double[]) : Set<Integer> inlined to private projectOWL(x double[], orthant double[], func Function) : double[] in class edu.stanford.nlp.optimization.QNMinimizer |
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