Struct nice_smile::network::Network

pub struct Network { /* private fields */ }

A Bayesian Network.

Implementations

impl Network

pub fn new_uninitialized() -> Self

Create a new uninitialized network.

pub fn from_xdsl_string(xdsl_string: impl AsRef<str>) -> Result<Self>

Create a new network from an XDSL string.

Example usage:

let network = Network::from_xdsl_string(&xdsl)?;
assert_ne!(xdsl, "".to_string());

pub fn to_xdsl_string(&mut self) -> Result<String>

Export the network to an XDSL string.

Example usage:

let mut network = Network::new_uninitialized();
let xdsl = network.to_xdsl_string()?;
assert_ne!(xdsl, "".to_string());

pub fn read_from_file(file_path: impl AsRef<Path>) -> Result<Network>

Read a network from a file.

The file type is determined automaticaly by the file_path extension. For the supported file types list, refer to the smile::ffi::DSL_network::ReadFile.

pub fn write_to_file(&mut self, file_path: impl AsRef<Path>) -> Result<()>

Write the network to a file.

The file type is determined automaticaly by the file_path extension. For the supported file types list, refer to the smile::ffi::DSL_network::ReadFile.

pub fn update_beliefs(&mut self) -> Result<()>

Executes inference algorithm to update node values. Returns DSL_OKAY on success, or a negative error code on failure.

pub fn invalidate_all_beliefs(&mut self) -> Result<()>

Invalidates values in all nodes of the Network.

pub fn is_update_immediate(&self) -> bool

Sets the immediate update flag.

If the flag is set to true, Self::update_beliefs will be called after changes in the network structure, parameters or evidence.

pub fn set_update_immediate(&mut self, immediate: bool)

Returns the update immediate flag.

For more information, refer to the Self::is_update_immediate.

pub fn set_bayesian_network_algorithm( &mut self, algorithm: BayesianNetworkAlgorithm, )

Sets the algorithm used for inference in Bayesian networks.

pub fn set_influence_diagram_algorithm( &mut self, algorithm: InfluenceDiagramAlgorithm, )

Sets the algorithm used for inference in influence diagrams.

Trait Implementations

impl Clone for Network

fn clone(&self) -> Self

Clone the network.

let network1 = Network::new_uninitialized();
// TODO: add nodes to the network
let network2 = network1.clone();
assert!(network1 == network2);

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl PartialEq for Network

fn eq(&self, other: &Self) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Eq for Network