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Fine tuned w1 and w2 for pretraining #269

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merged 2 commits into from
Jan 6, 2025
Merged

Fine tuned w1 and w2 for pretraining #269

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9aa1922
fine tuned w1 and f2 for pretraining
L-M-Sherlock Jan 6, 2025
cc571e9
update unit test
L-M-Sherlock Jan 6, 2025
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8 changes: 4 additions & 4 deletions src/pre_training.rs
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Original file line number Diff line number Diff line change
Expand Up @@ -184,8 +184,8 @@ pub(crate) fn smooth_and_fill(
}
}

let w1 = 3.0 / 5.0;
let w2 = 3.0 / 5.0;
let w1 = 0.41;
let w2 = 0.54;

let mut init_s0 = vec![];

Expand Down Expand Up @@ -357,15 +357,15 @@ mod tests {
let items = [pretrainset.clone(), trainset].concat();
let average_recall = calculate_average_recall(&items);
Data::from(pretrain(pretrainset, average_recall).unwrap().0)
.assert_approx_eq(&Data::from([0.908_688, 1.678_973, 4.216_837, 9.615_904]), 6)
.assert_approx_eq(&Data::from([0.908_688, 2.247_462, 4.216_837, 9.615_904]), 6)
}

#[test]
fn test_smooth_and_fill() {
let mut rating_stability = HashMap::from([(1, 0.4), (3, 2.3), (4, 10.9)]);
let rating_count = HashMap::from([(1, 1), (2, 1), (3, 1), (4, 1)]);
let actual = smooth_and_fill(&mut rating_stability, &rating_count).unwrap();
assert_eq!(actual, [0.4, 0.8052433, 2.3, 10.9,]);
assert_eq!(actual, [0.4, 1.1227008, 2.3, 10.9,]);

let mut rating_stability = HashMap::from([(2, 0.35)]);
let rating_count = HashMap::from([(2, 1)]);
Expand Down
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