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

124 lines
3.4 KiB

use ndarray::prelude::*;
use rustyCTBN::params::*;
use std::collections::BTreeSet;
mod utils;
#[macro_use]
extern crate approx;
fn create_ternary_discrete_time_continous_param() -> DiscreteStatesContinousTimeParams {
let mut params = utils::generate_discrete_time_continous_param(3);
let cim = array![[[-3.0, 2.0, 1.0], [1.0, -5.0, 4.0], [2.3, 1.7, -4.0]]];
params.set_cim(cim);
params
}
#[test]
fn test_uniform_generation() {
let param = create_ternary_discrete_time_continous_param();
let mut states = Array1::<usize>::zeros(10000);
states.mapv_inplace(|_| {
if let StateType::Discrete(val) = param.get_random_state_uniform() {
val
} else {
panic!()
}
});
let zero_freq = states.mapv(|a| (a == 0) as u64).sum() as f64 / 10000.0;
assert_relative_eq!(1.0 / 3.0, zero_freq, epsilon = 0.01);
}
#[test]
fn test_random_generation_state() {
let param = create_ternary_discrete_time_continous_param();
let mut states = Array1::<usize>::zeros(10000);
states.mapv_inplace(|_| {
if let StateType::Discrete(val) = param.get_random_state(1, 0).unwrap() {
val
} else {
panic!()
}
});
let two_freq = states.mapv(|a| (a == 2) as u64).sum() as f64 / 10000.0;
let zero_freq = states.mapv(|a| (a == 0) as u64).sum() as f64 / 10000.0;
assert_relative_eq!(4.0 / 5.0, two_freq, epsilon = 0.01);
assert_relative_eq!(1.0 / 5.0, zero_freq, epsilon = 0.01);
}
#[test]
fn test_random_generation_residence_time() {
let param = create_ternary_discrete_time_continous_param();
let mut states = Array1::<f64>::zeros(10000);
states.mapv_inplace(|_| param.get_random_residence_time(1, 0).unwrap());
assert_relative_eq!(1.0 / 5.0, states.mean().unwrap(), epsilon = 0.01);
}
#[test]
fn test_validate_params_valid_cim() {
let param = create_ternary_discrete_time_continous_param();
assert_eq!(Ok(()), param.validate_params());
}
#[test]
fn test_validate_params_cim_not_initialized() {
let param = utils::generate_discrete_time_continous_param(3);
assert_eq!(
Err(ParamsError::ParametersNotInitialized(String::from(
"CIM not initialized",
))),
param.validate_params()
);
}
#[test]
fn test_validate_params_wrong_shape() {
let mut param = utils::generate_discrete_time_continous_param(4);
let cim = array![[[-3.0, 2.0, 1.0], [1.0, -5.0, 4.0], [2.3, 1.7, -4.0]]];
let result = param.set_cim(cim);
assert_eq!(
Err(ParamsError::InvalidCIM(String::from(
"Incompatible shape [1, 3, 3] with domain 4"
))),
result
);
}
#[test]
fn test_validate_params_positive_diag() {
let mut param = utils::generate_discrete_time_continous_param(3);
let cim = array![[[2.0, -3.0, 1.0], [1.0, -5.0, 4.0], [2.3, 1.7, -4.0]]];
let result = param.set_cim(cim);
assert_eq!(
Err(ParamsError::InvalidCIM(String::from(
"The diagonal of each cim must be non-positive",
))),
result
);
}
#[test]
fn test_validate_params_row_not_sum_to_zero() {
let mut param = utils::generate_discrete_time_continous_param(3);
let cim = array![[[-3.0, 2.0, 1.0], [1.0, -5.0, 4.0], [2.3, 1.701, -4.0]]];
let result = param.set_cim(cim);
assert_eq!(
Err(ParamsError::InvalidCIM(String::from(
"The sum of each row must be 0"
))),
result
);
}