Docs.rs
  • ml_kit-1.0.0
    • ml_kit 1.0.0
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    • Docs.rs crate page
    • GPL-3.0-or-later
    • 28 July 2025
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    • crates.io
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    • Owners
    • SylvanM
    • Dependencies
      • byteorder ^1.5.0 normal
      • flate2 ^1.1.0 normal
      • idx_parser ^0.3.0 normal
      • image ^0.25.6 normal
      • matrix_kit ^0.2.34 normal
      • rand ^0.9.0 normal
      • rand_distr ^0.5.1 normal
    • Versions
    • 45.3% of the crate is documented
  • Platform
    • i686-pc-windows-msvc
    • i686-unknown-linux-gnu
    • x86_64-apple-darwin
    • x86_64-pc-windows-msvc
    • x86_64-unknown-linux-gnu
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ml_kit1.0.0

Crate Items

  • Structs
  • Enums
  • Traits
  • Functions
  • Type Aliases

List of all items

Structs

  • math::loss::SquaredLoss
  • models::convneuralnet::ConvLayer
  • models::convneuralnet::ConvNeuralNet
  • models::convneuralnet::FullLayer
  • models::convneuralnet::PoolLayer
  • models::neuralnet::NeuralNet
  • models::perceptron::Perceptron
  • training::dataset::DataSet
  • training::learning_rate::AdaGrad
  • training::learning_rate::FixedLR
  • training::sgd::CNNGradient
  • training::sgd::NNGradient
  • training::sgd::SGDTrainer
  • utility::mnist::mnist_utility::MNISTImage

Enums

  • math::activation::ActivationFunctionIdentifier
  • math::loss::LossFunctionIdentifier
  • models::convneuralnet::Layer
  • models::convneuralnet::PoolType

Traits

  • math::loss::LossFunction
  • training::dataset::DataItem
  • training::learning_rate::GradientUpdateSchedule

Functions

  • images::util::read_rgba_matrices
  • images::util::write_rgba_matrices
  • math::stats::centered
  • math::stats::mean
  • math::stats::plane_of_best_fit
  • math::stats::predict
  • math::svd::compressed_svd
  • math::svd::svd
  • math::svd::truncate
  • utility::file_utility::bytes_to_floats
  • utility::file_utility::bytes_to_u64s
  • utility::file_utility::floats_to_bytes
  • utility::file_utility::u64s_to_bytes
  • utility::mnist::mnist_utility::load_mnist

Type Aliases

  • math::activation::AFI
  • math::loss::LFI
  • models::convneuralnet::CNN
  • models::neuralnet::NN