Docs.rs
  • reCTBN-0.1.0
    • reCTBN 0.1.0
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    • Docs.rs crate page
    • MIT OR Apache-2.0
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    • crates.io
    • Source
    • Owners
    • AlessandroBregoli
    • Dependencies
      • bimap ~0.6 normal
      • enum_dispatch ~0.3 normal
      • itertools ~0.10 normal
      • log ~0.4 normal
      • ndarray ~0.15 normal
      • rand ~0.8 normal
      • rand_chacha ~0.3 normal
      • rayon ~1.6 normal
      • statrs ~0.16 normal
      • thiserror ^1.0.37 normal
      • approx ~0.5 dev
    • Versions
    • 63.31% 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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  • Rust
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    • Clippy Documentation

reCTBN0.1.0

Crate Items

  • Structs
  • Enums
  • Traits
  • Functions
  • Type Aliases

List of all items

Structs

  • parameter_learning::BayesianApproach
  • parameter_learning::MLE
  • params::DiscreteStatesContinousTimeParams
  • process::ctbn::CtbnNetwork
  • process::ctmp::CtmpProcess
  • reward::Reward
  • reward::reward_evaluation::MonteCarloReward
  • reward::reward_evaluation::NeighborhoodRelativeReward
  • reward::reward_function::FactoredRewardFunction
  • sampling::ForwardSampler
  • sampling::Sample
  • structure_learning::constraint_based_algorithm::CTPC
  • structure_learning::constraint_based_algorithm::Cache
  • structure_learning::hypothesis_test::ChiSquare
  • structure_learning::hypothesis_test::F
  • structure_learning::score_based_algorithm::HillClimbing
  • structure_learning::score_function::BIC
  • structure_learning::score_function::LogLikelihood
  • tools::Dataset
  • tools::Trajectory
  • tools::UniformGraphGenerator
  • tools::UniformParametersGenerator

Enums

  • params::Params
  • params::ParamsError
  • params::StateType
  • process::NetworkError
  • reward::reward_evaluation::RewardCriteria

Traits

  • parameter_learning::ParameterLearning
  • params::ParamsTrait
  • process::NetworkProcess
  • reward::RewardEvaluation
  • reward::RewardFunction
  • sampling::Sampler
  • structure_learning::StructuralLearningAlgorithm
  • structure_learning::hypothesis_test::HypothesisTest
  • structure_learning::score_function::ScoreFunction
  • tools::RandomGraphGenerator
  • tools::RandomParametersGenerator

Functions

  • parameter_learning::sufficient_statistics
  • tools::trajectory_generator

Type Aliases

  • process::NetworkProcessState