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38 lines
756 B
38 lines
756 B
3 years ago
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mod utils;
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use utils::*;
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use rustyCTBN::ctbn::*;
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use rustyCTBN::network::Network;
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use rustyCTBN::tools::*;
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use rustyCTBN::structure_learning::*;
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use ndarray::{arr1, arr2};
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use std::collections::BTreeSet;
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#[macro_use]
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extern crate approx;
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#[test]
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fn simple_log_likelihood() {
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let mut net = CtbnNetwork::init();
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let n1 = net
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.add_node(generate_discrete_time_continous_node(String::from("n1"),2))
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.unwrap();
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let trj = Trajectory{
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time: arr1(&[0.0,0.1,0.3]),
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events: arr2(&[[0],[1],[1]])};
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let dataset = Dataset{
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trajectories: vec![trj]};
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let ll = LogLikelihood::init(1, 1.0);
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assert_abs_diff_eq!(0.04257, ll.compute_score(&net, n1, &BTreeSet::new(), &dataset), epsilon=1e-3);
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}
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