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

67 lines
1.6 KiB

use std::collections::BTreeSet;
use crate::params::*;
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pub enum NodeType {
DiscreteStatesContinousTime(DiscreteStatesContinousTimeParams)
}
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pub struct Node {
pub params: NodeType,
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pub label: String
}
impl Node {
pub fn reset_params(&mut self) {
match &mut self.params {
NodeType::DiscreteStatesContinousTime(params) => {params.reset_params();}
}
}
pub fn get_params(&self) -> &NodeType {
&self.params
}
pub fn get_reserved_space_as_parent(&self) -> usize {
match &self.params {
NodeType::DiscreteStatesContinousTime(params) => params.get_reserved_space_as_parent()
}
}
pub fn state_to_index(&self,state: &StateType) -> usize{
match &self.params {
NodeType::DiscreteStatesContinousTime(params) => params.state_to_index(state)
}
}
pub fn get_random_residence_time(&self, state: usize, u:usize) -> Result<f64, ParamsError> {
match &self.params {
NodeType::DiscreteStatesContinousTime(params) => params.get_random_residence_time(state, u)
}
}
pub fn get_random_state_uniform(&self) -> StateType {
match &self.params {
NodeType::DiscreteStatesContinousTime(params) => params.get_random_state_uniform()
}
}
pub fn get_random_state(&self, state: usize, u:usize) -> Result<StateType, ParamsError>{
match &self.params {
NodeType::DiscreteStatesContinousTime(params) => params.get_random_state(state, u)
}
}
}
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impl PartialEq for Node {
fn eq(&self, other: &Node) -> bool{
self.label == other.label
}
}
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