| Activation | MachineLearning.NeuralNetwork.TopologyMaker |
| addBiasDimension | MachineLearning |
| affineBackward | MachineLearning.NeuralNetwork.Layer |
| affineForward | MachineLearning.NeuralNetwork.Layer |
| ARelu | MachineLearning.NeuralNetwork.TopologyMaker |
| ASigmoid | MachineLearning.NeuralNetwork.TopologyMaker |
| ATanh | MachineLearning.NeuralNetwork.TopologyMaker |
| backwardReg | MachineLearning.NeuralNetwork.Regularization |
| BFGS2 | MachineLearning.Optimization, MachineLearning.Regression, MachineLearning.Classification.OneVsAll, MachineLearning.Classification.Binary |
| Cache | |
| 1 (Data Constructor) | MachineLearning.NeuralNetwork.Layer |
| 2 (Type/Class) | MachineLearning.NeuralNetwork.Layer |
| cacheW | MachineLearning.NeuralNetwork.Layer |
| cacheX | MachineLearning.NeuralNetwork.Layer |
| cacheZ | MachineLearning.NeuralNetwork.Layer |
| calcAccuracy | MachineLearning.Classification.OneVsAll, MachineLearning.Classification.Binary, MachineLearning.NeuralNetwork |
| ccost | MachineLearning.Classification.MultiClass, MachineLearning.SoftmaxClassifier, MachineLearning.MultiSvmClassifier |
| ccostReg | MachineLearning.Classification.MultiClass, MachineLearning.SoftmaxClassifier, MachineLearning.MultiSvmClassifier |
| cgradient | MachineLearning.Classification.MultiClass, MachineLearning.SoftmaxClassifier, MachineLearning.MultiSvmClassifier |
| cgradientReg | MachineLearning.Classification.MultiClass, MachineLearning.SoftmaxClassifier, MachineLearning.MultiSvmClassifier |
| checkGradient | MachineLearning.Optimization |
| chypothesis | MachineLearning.Classification.MultiClass, MachineLearning.SoftmaxClassifier, MachineLearning.MultiSvmClassifier |
| Classifier | MachineLearning.Classification.MultiClass, MachineLearning.SoftmaxClassifier, MachineLearning.MultiSvmClassifier |
| Cluster | MachineLearning.Clustering |
| cnumClasses | MachineLearning.Classification.MultiClass, MachineLearning.SoftmaxClassifier, MachineLearning.MultiSvmClassifier |
| ConjugateGradientFR | MachineLearning.Optimization, MachineLearning.Regression, MachineLearning.Classification.OneVsAll, MachineLearning.Classification.Binary |
| ConjugateGradientPR | MachineLearning.Optimization, MachineLearning.Regression, MachineLearning.Classification.OneVsAll, MachineLearning.Classification.Binary |
| cost | MachineLearning.Model, MachineLearning.LogisticModel, MachineLearning.Regression, MachineLearning.SoftmaxClassifier, MachineLearning.NeuralNetwork, MachineLearning.MultiSvmClassifier |
| costReg | MachineLearning.Regularization |
| cscore | MachineLearning.Classification.MultiClass, MachineLearning.SoftmaxClassifier, MachineLearning.MultiSvmClassifier |
| featureNormalization | MachineLearning |
| flatten | MachineLearning.NeuralNetwork.Topology |
| forwardReg | MachineLearning.NeuralNetwork.Regularization |
| getDimReducer | MachineLearning.PCA |
| getDimReducer_rv | MachineLearning.PCA |
| getRandomRListM | MachineLearning.Random |
| getRandomRMatrixM | MachineLearning.Random |
| getRandomRVectorM | MachineLearning.Random |
| gradient | |
| 1 (Function) | MachineLearning.NeuralNetwork.MultiSvmLoss |
| 2 (Function) | MachineLearning.NeuralNetwork.SoftmaxLoss |
| 3 (Function) | MachineLearning.NeuralNetwork.LogisticLoss |
| 4 (Function) | MachineLearning.NeuralNetwork.SigmoidActivation |
| 5 (Function) | MachineLearning.Model, MachineLearning.LogisticModel, MachineLearning.Regression, MachineLearning.SoftmaxClassifier, MachineLearning.NeuralNetwork, MachineLearning.MultiSvmClassifier |
| 6 (Function) | MachineLearning.NeuralNetwork.ReluActivation |
| 7 (Function) | MachineLearning.NeuralNetwork.TanhActivation |
| GradientDescent | MachineLearning.Optimization, MachineLearning.Regression, MachineLearning.Classification.OneVsAll, MachineLearning.Classification.Binary |
| gradientDescent | MachineLearning.Optimization.GradientDescent |
| gradientReg | MachineLearning.Regularization |
| he | MachineLearning.NeuralNetwork.WeightInitialization |
| hypothesis | MachineLearning.Model, MachineLearning.LogisticModel, MachineLearning.Regression, MachineLearning.SoftmaxClassifier, MachineLearning.NeuralNetwork, MachineLearning.MultiSvmClassifier |
| initializeTheta | MachineLearning.NeuralNetwork.Topology, MachineLearning.NeuralNetwork |
| initializeThetaIO | MachineLearning.NeuralNetwork.Topology, MachineLearning.NeuralNetwork |
| initializeThetaM | MachineLearning.NeuralNetwork.Topology, MachineLearning.NeuralNetwork |
| kmeans | MachineLearning.Clustering |
| kmeansIterM | MachineLearning.Clustering |
| L2 | MachineLearning.Regularization, MachineLearning.NeuralNetwork.Regularization, MachineLearning.Regression, MachineLearning.Classification.OneVsAll, MachineLearning.Classification.Binary, MachineLearning.Classification.MultiClass, MachineLearning.SoftmaxClassifier, MachineLearning.NeuralNetwork, MachineLearning.MultiSvmClassifier |
| lActivation | MachineLearning.NeuralNetwork.Layer |
| lActivationGradient | MachineLearning.NeuralNetwork.Layer |
| Layer | |
| 1 (Data Constructor) | MachineLearning.NeuralNetwork.Layer |
| 2 (Type/Class) | MachineLearning.NeuralNetwork.Layer |
| lBackward | MachineLearning.NeuralNetwork.Layer |
| learn | |
| 1 (Function) | MachineLearning.Classification.Binary |
| 2 (Function) | MachineLearning.Classification.OneVsAll |
| learnOneVsAllWithProgressBar | MachineLearning.TerminalProgress |
| learnWithProgressBar | MachineLearning.TerminalProgress |
| LeastSquares | MachineLearning.LeastSquaresModel, MachineLearning.Regression |
| LeastSquaresModel | MachineLearning.LeastSquaresModel, MachineLearning.Regression |
| lForward | MachineLearning.NeuralNetwork.Layer |
| lInitializeThetaM | MachineLearning.NeuralNetwork.Layer |
| listOfTuplesToList | MachineLearning.Utils |
| LLogistic | MachineLearning.NeuralNetwork.TopologyMaker |
| LMultiSvm | MachineLearning.NeuralNetwork.TopologyMaker |
| Logistic | MachineLearning.LogisticModel |
| LogisticModel | MachineLearning.LogisticModel |
| Loss | MachineLearning.NeuralNetwork.TopologyMaker |
| loss | |
| 1 (Function) | MachineLearning.NeuralNetwork.Topology |
| 2 (Function) | MachineLearning.NeuralNetwork.MultiSvmLoss |
| 3 (Function) | MachineLearning.NeuralNetwork.SoftmaxLoss |
| 4 (Function) | MachineLearning.NeuralNetwork.LogisticLoss |
| LossFunc | MachineLearning.NeuralNetwork.Topology |
| LSoftmax | MachineLearning.NeuralNetwork.TopologyMaker |
| lUnits | MachineLearning.NeuralNetwork.Layer |
| makeTopology | |
| 1 (Function) | MachineLearning.NeuralNetwork.TopologyMaker |
| 2 (Function) | MachineLearning.NeuralNetwork.Topology |
| mapFeatures | MachineLearning |
| Matrix | MachineLearning.Types |
| meanStddev | MachineLearning |
| MinibatchGradientDescent | MachineLearning.Optimization, MachineLearning.Regression, MachineLearning.Classification.OneVsAll, MachineLearning.Classification.Binary |
| minibatchGradientDescent | MachineLearning.Optimization.MinibatchGradientDescent |
| minimize | MachineLearning.Optimization, MachineLearning.Regression |
| MinimizeMethod | MachineLearning.Optimization, MachineLearning.Regression, MachineLearning.Classification.OneVsAll, MachineLearning.Classification.Binary |
| Model | MachineLearning.Model, MachineLearning.LogisticModel, MachineLearning.Regression, MachineLearning.SoftmaxClassifier, MachineLearning.NeuralNetwork, MachineLearning.MultiSvmClassifier |
| MultiClass | MachineLearning.Classification.MultiClass, MachineLearning.SoftmaxClassifier, MachineLearning.MultiSvmClassifier |
| MultiClassModel | MachineLearning.Classification.MultiClass, MachineLearning.SoftmaxClassifier, MachineLearning.MultiSvmClassifier |
| MultiSvm | MachineLearning.MultiSvmClassifier |
| MultiSvmClassifier | MachineLearning.MultiSvmClassifier |
| NeuralNetwork | MachineLearning.NeuralNetwork |
| NeuralNetworkModel | MachineLearning.NeuralNetwork |
| nguyen | MachineLearning.NeuralNetwork.WeightInitialization |
| normalEquation | MachineLearning.Regression |
| normalEquation_p | MachineLearning.Regression |
| numberOutputs | MachineLearning.NeuralNetwork.Topology |
| predict | |
| 1 (Function) | MachineLearning.Classification.Binary |
| 2 (Function) | MachineLearning.Classification.OneVsAll |
| processOutput | MachineLearning.Classification.MultiClass, MachineLearning.SoftmaxClassifier, MachineLearning.MultiSvmClassifier |
| propagateBackward | MachineLearning.NeuralNetwork.Topology |
| propagateForward | MachineLearning.NeuralNetwork.Topology |
| R | MachineLearning.Types |
| reduceByColumns | MachineLearning.Utils |
| reduceByColumnsV | MachineLearning.Utils |
| reduceByRows | MachineLearning.Utils |
| reduceByRowsV | MachineLearning.Utils |
| RegNone | MachineLearning.Regularization, MachineLearning.NeuralNetwork.Regularization, MachineLearning.Regression, MachineLearning.Classification.OneVsAll, MachineLearning.Classification.Binary, MachineLearning.Classification.MultiClass, MachineLearning.SoftmaxClassifier, MachineLearning.NeuralNetwork, MachineLearning.MultiSvmClassifier |
| Regularization | MachineLearning.Regularization, MachineLearning.NeuralNetwork.Regularization, MachineLearning.Regression, MachineLearning.Classification.OneVsAll, MachineLearning.Classification.Binary, MachineLearning.Classification.MultiClass, MachineLearning.SoftmaxClassifier, MachineLearning.NeuralNetwork, MachineLearning.MultiSvmClassifier |
| relu | MachineLearning.NeuralNetwork.ReluActivation |
| removeBiasDimension | MachineLearning |
| sample | MachineLearning.Random |
| sampleM | MachineLearning.Random |
| scores | |
| 1 (Function) | MachineLearning.NeuralNetwork.MultiSvmLoss |
| 2 (Function) | MachineLearning.NeuralNetwork.SoftmaxLoss |
| 3 (Function) | MachineLearning.NeuralNetwork.LogisticLoss |
| sigmoid | MachineLearning.LogisticModel, MachineLearning.NeuralNetwork.SigmoidActivation |
| sigmoidGradient | MachineLearning.LogisticModel |
| Softmax | MachineLearning.SoftmaxClassifier |
| SoftmaxClassifier | MachineLearning.SoftmaxClassifier |
| splitToXY | MachineLearning |
| sumByColumns | MachineLearning.Utils |
| sumByRows | MachineLearning.Utils |
| tanh | MachineLearning.NeuralNetwork.TanhActivation |
| Topology | MachineLearning.NeuralNetwork.Topology, MachineLearning.NeuralNetwork |
| unflatten | MachineLearning.NeuralNetwork.Topology |
| Vector | MachineLearning.Types |