Deprecated API

Contents

• Deprecated Interfaces
• Deprecated Classes
• Deprecated Enums
• Deprecated Fields
• Deprecated Methods
• Deprecated Constructors
• Deprecated Enum Constants

Deprecated Interfaces

Interface and Description
org.deeplearning4j.eval.IEvaluation

Deprecated Classes

Class and Description
org.deeplearning4j.eval.BaseEvaluation
org.deeplearning4j.optimize.listeners.ComposableIterationListener
org.deeplearning4j.eval.ConfusionMatrix
org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculatorCG
org.deeplearning4j.eval.Evaluation
org.deeplearning4j.eval.EvaluationBinary
org.deeplearning4j.eval.EvaluationCalibration
org.deeplearning4j.eval.EvaluationUtils
org.deeplearning4j.nn.conf.distribution.GaussianDistribution
org.deeplearning4j.nn.conf.layers.GravesBidirectionalLSTM
org.deeplearning4j.nn.conf.layers.GravesLSTM
org.deeplearning4j.nn.layers.recurrent.GravesLSTM
org.deeplearning4j.eval.curves.Histogram
org.deeplearning4j.optimize.api.IterationListener
org.deeplearning4j.eval.curves.PrecisionRecallCurve
org.deeplearning4j.eval.RegressionEvaluation
org.deeplearning4j.eval.curves.ReliabilityDiagram
org.deeplearning4j.eval.ROC
org.deeplearning4j.eval.ROC.CountsForThreshold Use ROC.CountsForThreshold
org.deeplearning4j.eval.ROCBinary
org.deeplearning4j.eval.curves.RocCurve
org.deeplearning4j.eval.ROCMultiClass

Deprecated Enums

Enum and Description
org.deeplearning4j.eval.Evaluation.Metric
org.deeplearning4j.eval.EvaluationAveraging
org.deeplearning4j.eval.RegressionEvaluation.Metric Use ND4J RegressionEvaluation class, which has the same interface: RegressionEvaluation.Metric
org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer.DataFormat Use CNN2DFormat instead

Deprecated Fields

Field and Description
org.deeplearning4j.eval.EvaluationBinary.DEFAULT_EDGE_VALUE
org.deeplearning4j.eval.EvaluationBinary.DEFAULT_PRECISION
org.deeplearning4j.eval.ROCBinary.DEFAULT_STATS_PRECISION Use ROCBinary
org.deeplearning4j.eval.ROCMultiClass.DEFAULT_STATS_PRECISION Use ROCMultiClass

Deprecated Methods

Method and Description
org.deeplearning4j.nn.conf.layers.ActivationLayer.Builder.activation(String) Use ActivationLayer.Builder.activation(Activation) or @activation(IActivation)
org.deeplearning4j.gradientcheck.GradientCheckUtil.checkGradients(MultiLayerNetwork, double, double, double, boolean, boolean, INDArray, INDArray)
org.deeplearning4j.gradientcheck.GradientCheckUtil.checkGradients(MultiLayerNetwork, double, double, double, boolean, boolean, INDArray, INDArray, INDArray, INDArray, boolean, int, Set<String>, Integer)
org.deeplearning4j.nn.conf.inputs.InputType.convolutional3D(long, long, long, long) Use InputType.convolutional3D(Convolution3D.DataFormat, long, long, long, long)
org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder.cudnnAllowFallback(boolean) Use SubsamplingLayer.BaseSubsamplingBuilder.helperAllowFallback(boolean)
org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder.cudnnAllowFallback(boolean) Use Subsampling3DLayer.BaseSubsamplingBuilder.helperAllowFallback(boolean)
org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder.cudnnAllowFallback(boolean) Use BatchNormalization.Builder.helperAllowFallback(boolean)
org.deeplearning4j.nn.conf.layers.LocalResponseNormalization.Builder.cudnnAllowFallback(boolean) Use LocalResponseNormalization.Builder.helperAllowFallback(boolean)
org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder.cudnnAllowFallback(boolean) Use ConvolutionLayer.BaseConvBuilder.helperAllowFallback(boolean)
org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer.Builder.dataFormat(SpaceToDepthLayer.DataFormat) Use SpaceToDepthLayer.Builder.dataFormat(CNN2DFormat)
org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler.decodeUpdates(INDArray)
org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder.dist(Distribution)
org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder.dist(Distribution) Use NeuralNetConfiguration.Builder.weightInit(Distribution)
org.deeplearning4j.nn.conf.layers.BaseLayer.Builder.dist(Distribution)
org.deeplearning4j.nn.multilayer.MultiLayerNetwork.evaluateROC(DataSetIterator) To be removed - use MultiLayerNetwork.evaluateROC(DataSetIterator, int) to enforce selection of appropriate ROC/threshold configuration
org.deeplearning4j.nn.graph.ComputationGraph.evaluateROC(DataSetIterator) To be removed - use ComputationGraph.evaluateROC(DataSetIterator, int) to enforce selection of appropriate ROC/threshold configuration
org.deeplearning4j.nn.graph.ComputationGraph.evaluateROC(MultiDataSetIterator) To be removed - use ComputationGraph.evaluateROC(DataSetIterator, int) to enforce selection of appropriate ROC/threshold configuration
org.deeplearning4j.nn.multilayer.MultiLayerNetwork.evaluateROCMultiClass(DataSetIterator) To be removed - use MultiLayerNetwork.evaluateROCMultiClass(DataSetIterator, int) to enforce selection of appropriate ROC/threshold configuration
org.deeplearning4j.nn.graph.ComputationGraph.evaluateROCMultiClass(DataSetIterator) To be removed - use ComputationGraph.evaluateROCMultiClass(DataSetIterator, int) to enforce selection of appropriate ROC/threshold configuration
org.deeplearning4j.nn.api.Model.fit()
org.deeplearning4j.eval.Evaluation.fromJson(String) Use ND4J Evaluation class, which has the same interface: Evaluation.Metric
org.deeplearning4j.eval.EvaluationBinary.fromJson(String)
org.deeplearning4j.eval.curves.RocCurve.fromJson(String) Use RocCurve
org.deeplearning4j.eval.curves.Histogram.fromJson(String) Use Histogram
org.deeplearning4j.eval.Evaluation.fromYaml(String) Use ND4J Evaluation class, which has the same interface: Evaluation.Metric
org.deeplearning4j.eval.EvaluationBinary.fromYaml(String)
org.deeplearning4j.eval.curves.RocCurve.fromYaml(String) Use RocCurve
org.deeplearning4j.eval.curves.Histogram.fromYaml(String) Use Histogram
org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutional.getDepth()
org.deeplearning4j.util.ConvolutionUtils.getOutputSize(INDArray, int[], int[], int[], ConvolutionMode)
org.deeplearning4j.util.ConvolutionUtils.getOutputSize(INDArray, int[], int[], int[], ConvolutionMode, int[]) Use ConvolutionUtils.getOutputSize(INDArray, int[], int[], int[], ConvolutionMode, int[], CNN2DFormat)
org.deeplearning4j.nn.conf.layers.InputTypeUtil.getOutputTypeCnnLayers(InputType, int[], int[], int[], int[], ConvolutionMode, long, long, String, Class<?>) Use InputTypeUtil.getOutputTypeCnnLayers(InputType, int[], int[], int[], int[], ConvolutionMode, long, long, String, CNN2DFormat, Class)
org.deeplearning4j.nn.multilayer.MultiLayerNetwork.getTrainingListeners() Use MultiLayerNetwork.getListeners()
org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder.inferenceWorkspaceMode(WorkspaceMode) Use NeuralNetConfiguration.Builder.inferenceWorkspaceMode(WorkspaceMode)
org.deeplearning4j.nn.weights.WeightInitUtil.initWeights(double, double, int[], WeightInit, Distribution, char, INDArray)
org.deeplearning4j.nn.weights.WeightInitUtil.initWeights(double, double, int[], WeightInit, Distribution, INDArray)
org.deeplearning4j.nn.multilayer.MultiLayerNetwork.numLabels() Will be removed in a future release
org.deeplearning4j.nn.api.Classifier.numLabels() Will be removed in a future release
org.deeplearning4j.nn.multilayer.MultiLayerNetwork.params(boolean) To be removed. Use MultiLayerNetwork.params() instead
org.deeplearning4j.nn.graph.ComputationGraph.params(boolean) To be removed. Use ComputationGraph.params()
org.deeplearning4j.eval.Evaluation.precision(EvaluationAveraging)
org.deeplearning4j.eval.Evaluation.recall(EvaluationAveraging)
org.deeplearning4j.util.ConvolutionUtils.reshapeMaskIfRequired(INDArray, INDArray, LayerWorkspaceMgr, ArrayType) Use ConvolutionUtils.reshapeMaskIfRequired(INDArray, INDArray, CNN2DFormat, LayerWorkspaceMgr, ArrayType)
org.deeplearning4j.eval.Evaluation.scoreForMetric(Evaluation.Metric) Use ND4J Evaluation class, which has the same interface: Evaluation.Metric
org.deeplearning4j.eval.RegressionEvaluation.scoreForMetric(RegressionEvaluation.Metric) Use ND4J RegressionEvaluation class, which has the same interface: RegressionEvaluation
org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutional.setDepth(long)
org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder.stepFunction(StepFunction)
org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder.trainingWorkspaceMode(WorkspaceMode) Use NeuralNetConfiguration.Builder.trainingWorkspaceMode(WorkspaceMode)
org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder.updater(Updater) Use FineTuneConfiguration.Builder.updater(IUpdater)
org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder.updater(Updater) Use NeuralNetConfiguration.Builder.updater(IUpdater)
org.deeplearning4j.nn.conf.layers.BaseLayer.Builder.updater(Updater)

Deprecated Constructors

Constructor and Description
org.deeplearning4j.earlystopping.termination.BestScoreEpochTerminationCondition(double, boolean) "lessBetter" argument no longer used
org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer.Builder(int, SpaceToDepthLayer.DataFormat)
org.deeplearning4j.eval.ConfusionMatrix() Use ConfusionMatrix
org.deeplearning4j.eval.ConfusionMatrix(ConfusionMatrix<T>) Use ConfusionMatrix
org.deeplearning4j.eval.ConfusionMatrix(List<T>) Use ConfusionMatrix
org.deeplearning4j.eval.Evaluation() Use ND4J Evaluation class, which has the same interface: Evaluation.Metric
org.deeplearning4j.eval.Evaluation(double) Use ND4J Evaluation class, which has the same interface: Evaluation.Metric
org.deeplearning4j.eval.Evaluation(double, Integer) Use ND4J Evaluation class, which has the same interface: Evaluation.Metric
org.deeplearning4j.eval.Evaluation(INDArray) Use ND4J Evaluation class, which has the same interface: Evaluation.Metric
org.deeplearning4j.eval.Evaluation(int) Use ND4J Evaluation class, which has the same interface: Evaluation.Metric
org.deeplearning4j.eval.Evaluation(int, Integer) Use ND4J Evaluation class, which has the same interface: Evaluation.Metric
org.deeplearning4j.eval.Evaluation(List<String>) Use ND4J Evaluation class, which has the same interface: Evaluation.Metric
org.deeplearning4j.eval.Evaluation(List<String>, INDArray) Use ND4J Evaluation class, which has the same interface: Evaluation.Metric
org.deeplearning4j.eval.Evaluation(List<String>, int) Use ND4J Evaluation class, which has the same interface: Evaluation.Metric
org.deeplearning4j.eval.Evaluation(Map<Integer, String>) Use ND4J Evaluation class, which has the same interface: Evaluation.Metric
org.deeplearning4j.eval.EvaluationBinary(INDArray)
org.deeplearning4j.eval.EvaluationBinary(int, Integer)
org.deeplearning4j.eval.EvaluationCalibration() Use EvaluationCalibration
org.deeplearning4j.eval.EvaluationCalibration(int, int) Use EvaluationCalibration
org.deeplearning4j.eval.EvaluationCalibration(int, int, boolean) Use EvaluationCalibration
org.deeplearning4j.nn.conf.layers.variational.ExponentialReconstructionDistribution(String) Use ExponentialReconstructionDistribution(Activation)
org.deeplearning4j.eval.curves.Histogram(String, double, double, int[]) Use Histogram
org.deeplearning4j.eval.curves.PrecisionRecallCurve(double[], double[], double[], int[], int[], int[], int) Use ReliabilityDiagram
org.deeplearning4j.eval.RegressionEvaluation() Use ND4J RegressionEvaluation class, which has the same interface: RegressionEvaluation
org.deeplearning4j.eval.RegressionEvaluation(List<String>) Use ND4J RegressionEvaluation class, which has the same interface: RegressionEvaluation
org.deeplearning4j.eval.RegressionEvaluation(List<String>, long) Use ND4J RegressionEvaluation class, which has the same interface: RegressionEvaluation
org.deeplearning4j.eval.RegressionEvaluation(long) Use ND4J RegressionEvaluation class, which has the same interface: RegressionEvaluation
org.deeplearning4j.eval.RegressionEvaluation(long, long) Use ND4J RegressionEvaluation class, which has the same interface: RegressionEvaluation
org.deeplearning4j.eval.RegressionEvaluation(String...) Use ND4J RegressionEvaluation class, which has the same interface: RegressionEvaluation
org.deeplearning4j.eval.curves.ReliabilityDiagram(String, double[], double[]) Use ReliabilityDiagram
org.deeplearning4j.eval.ROC() Use ROC
org.deeplearning4j.eval.ROC(int) Use ROC
org.deeplearning4j.eval.ROC(int, boolean) Use ROC
org.deeplearning4j.eval.ROC(int, boolean, int) Use ROC
org.deeplearning4j.eval.ROCBinary() Use ROCBinary
org.deeplearning4j.eval.ROCBinary(int) Use ROCBinary
org.deeplearning4j.eval.ROCBinary(int, boolean) Use ROCBinary
org.deeplearning4j.eval.curves.RocCurve(double[], double[], double[]) Use RocCurve
org.deeplearning4j.eval.ROCMultiClass() Use ROCMultiClass
org.deeplearning4j.eval.ROCMultiClass(int) Use ROCMultiClass
org.deeplearning4j.eval.ROCMultiClass(int, boolean) Use ROCMultiClass

Deprecated Enum Constants

Enum Constant and Description
org.deeplearning4j.nn.conf.Updater.CUSTOM
org.deeplearning4j.nn.conf.WorkspaceMode.SEPARATE Use WorkspaceMode.ENABLED instead
org.deeplearning4j.nn.conf.WorkspaceMode.SINGLE Use WorkspaceMode.ENABLED instead