Hierarchy For All Packages

Package Hierarchies:

• com.jml.classifiers,
• com.jml.core,
• com.jml.linear_models,
• com.jml.losses,
• com.jml.neural_network,
• com.jml.neural_network.activations,
• com.jml.neural_network.layers,
• com.jml.neural_network.layers.initilizers,
• com.jml.optimizers,
• com.jml.preprocessing,
• com.jml.util

Class Hierarchy

• java.lang.Object
  • com.jml.neural_network.activations.Activations
  • com.jml.util.ArrayErrors
  • com.jml.util.ArrayErrorsTest
  • com.jml.util.ArrayUtils
  • com.jml.core.Block
  • com.jml.neural_network.layers.initilizers.Constant (implements com.jml.neural_network.layers.initilizers.Initializer)
  • com.jml.core.DataLoader
  • com.jml.preprocessing.DataSplitter
  • com.jml.neural_network.layers.Dense (implements com.jml.neural_network.layers.TrainableLayer)
  • com.jml.neural_network.layers.Dropout (implements com.jml.neural_network.layers.BaseLayer)
  • com.jml.preprocessing.Encoder
  • com.jml.util.FileManager
  • com.jml.neural_network.layers.initilizers.GlorotNormal (implements com.jml.neural_network.layers.initilizers.Initializer)
  • com.jml.neural_network.layers.initilizers.GlorotUniform (implements com.jml.neural_network.layers.initilizers.Initializer)
  • com.jml.neural_network.layers.initilizers.HeNormal (implements com.jml.neural_network.layers.initilizers.Initializer)
  • com.jml.neural_network.layers.initilizers.HeUniform (implements com.jml.neural_network.layers.initilizers.Initializer)
  • com.jml.classifiers.KDTree
  • com.jml.neural_network.activations.Linear (implements com.jml.neural_network.activations.ActivationFunction)
  • com.jml.neural_network.layers.Linear (implements com.jml.neural_network.layers.TrainableLayer)
  • com.jml.losses.LossFunctions
  • com.jml.core.Metrics
  • com.jml.core.Model<X,Y>
    • com.jml.classifiers.KNearestNeighbors
    • com.jml.classifiers.LogisticRegression
    • com.jml.linear_models.MultipleLinearRegression
      • com.jml.linear_models.MultipleLinearRegressionSGD
    • com.jml.neural_network.NeuralNetwork
    • com.jml.linear_models.Perceptron
    • com.jml.linear_models.PolynomialRegression
      • com.jml.linear_models.LinearRegression
        • com.jml.linear_models.LinearRegressionSGD
      • com.jml.linear_models.PolynomialRegressionSGD
  • com.jml.preprocessing.Normalize
  • com.jml.neural_network.layers.initilizers.Ones (implements com.jml.neural_network.layers.initilizers.Initializer)
  • com.jml.optimizers.Optimizer
    • com.jml.optimizers.Adam
    • com.jml.optimizers.GradientDescent
    • com.jml.optimizers.Momentum
  • com.jml.neural_network.layers.initilizers.Orthogonal (implements com.jml.neural_network.layers.initilizers.Initializer)
  • com.jml.neural_network.layers.initilizers.RandomNormal (implements com.jml.neural_network.layers.initilizers.Initializer)
  • com.jml.neural_network.layers.initilizers.RandomUniform (implements com.jml.neural_network.layers.initilizers.Initializer)
  • com.jml.neural_network.activations.Relu (implements com.jml.neural_network.activations.ActivationFunction)
  • com.jml.optimizers.Scheduler
    • com.jml.optimizers.StepLearningRate
  • com.jml.neural_network.activations.Sigmoid (implements com.jml.neural_network.activations.ActivationFunction)
  • com.jml.neural_network.activations.Softmax (implements com.jml.neural_network.activations.ActivationFunction)
  • com.jml.core.Stats
  • com.jml.neural_network.activations.Tanh (implements com.jml.neural_network.activations.ActivationFunction)
  • com.jml.util.ValueError
  • com.jml.neural_network.layers.initilizers.Zeros (implements com.jml.neural_network.layers.initilizers.Initializer)

Interface Hierarchy

• com.jml.neural_network.activations.ActivationFunction
• com.jml.neural_network.layers.BaseLayer
  • com.jml.neural_network.layers.TrainableLayer
• com.jml.losses.Function
• com.jml.neural_network.layers.initilizers.Initializer

Enum Class Hierarchy

• java.lang.Object
  • java.lang.Enum<E> (implements java.lang.Comparable<T>, java.lang.constant.Constable, java.io.Serializable)
    • com.jml.classifiers.ClassifierTags
    • com.jml.linear_models.LinearModelTags
    • com.jml.neural_network.ModelTags
    • com.jml.core.ModelTypes