OptiML
  • optiml package
OptiML
  • Overview: module code

All modules for which code is available

  • optiml.ml.neural_network._base
  • optiml.ml.neural_network.activations
  • optiml.ml.neural_network.initializers
  • optiml.ml.neural_network.layers
  • optiml.ml.neural_network.losses
  • optiml.ml.neural_network.regularizers
  • optiml.ml.svm._base
  • optiml.ml.svm.kernels
  • optiml.ml.svm.losses
  • optiml.ml.svm.smo
  • optiml.ml.utils
  • optiml.opti._base
  • optiml.opti.constrained._base
  • optiml.opti.constrained.active_set
  • optiml.opti.constrained.frank_wolfe
  • optiml.opti.constrained.interior_point
  • optiml.opti.constrained.projected_gradient
  • optiml.opti.unconstrained._base
  • optiml.opti.unconstrained.line_search._base
  • optiml.opti.unconstrained.line_search.conjugate_gradient
  • optiml.opti.unconstrained.line_search.gradient_descent
  • optiml.opti.unconstrained.line_search.line_search
  • optiml.opti.unconstrained.line_search.newton
  • optiml.opti.unconstrained.line_search.quasi_newton
  • optiml.opti.unconstrained.proximal_bundle
  • optiml.opti.unconstrained.stochastic._base
  • optiml.opti.unconstrained.stochastic.adadelta
  • optiml.opti.unconstrained.stochastic.adagrad
  • optiml.opti.unconstrained.stochastic.adam
  • optiml.opti.unconstrained.stochastic.adamax
  • optiml.opti.unconstrained.stochastic.amsgrad
  • optiml.opti.unconstrained.stochastic.gradient_descent
  • optiml.opti.unconstrained.stochastic.rmsprop
  • optiml.opti.unconstrained.stochastic.schedules
  • optiml.opti.utils

© Copyright 2021, Donato Meoli.

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