A new, blazing-fast learning engine for Continuous Time Bayesian Networks. Written in pure Rust. 🦀
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reCTBN/src/network.rs

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1.1 KiB

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use thiserror::Error;
use crate::params;
use crate::node;
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/// Error types for trait Network
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#[derive(Error, Debug)]
pub enum NetworkError {
#[error("Error during node insertion")]
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NodeInsertionError(String)
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}
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///Network
///The Network trait define the required methods for a structure used as pgm (such as ctbn).
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pub trait Network {
fn initialize_adj_matrix(&mut self);
fn add_node(&mut self, n: node::Node) -> Result<usize, NetworkError>;
fn add_edge(&mut self, parent: usize, child: usize);
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///Get all the indices of the nodes contained inside the network
fn get_node_indices(&self) -> std::ops::Range<usize>;
fn get_node(&self, node_idx: usize) -> &node::Node;
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///Compute the index that must be used to access the parameter of a node given a specific
///configuration of the network. Usually, the only values really used in *current_state* are
///the ones in the parent set of the *node*.
fn get_param_index_network(&self, node: usize, current_state: &Vec<params::StateType>) -> usize;
fn get_parent_set(&self, node: usize) -> Vec<usize>;
fn get_children_set(&self, node: usize) -> Vec<usize>;
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}