From d298709040df1a427fec03bc1fc21eadce20bb44 Mon Sep 17 00:00:00 2001 From: "Lorenzo (Mec-iS)" Date: Thu, 3 Nov 2022 13:44:27 +0000 Subject: [PATCH] cargo clippy --- src/metrics/accuracy.rs | 4 ++-- src/metrics/f1.rs | 2 +- src/metrics/mean_absolute_error.rs | 2 +- src/metrics/mean_squared_error.rs | 2 +- src/metrics/recall.rs | 2 +- 5 files changed, 6 insertions(+), 6 deletions(-) diff --git a/src/metrics/accuracy.rs b/src/metrics/accuracy.rs index 498efea..f449d1e 100644 --- a/src/metrics/accuracy.rs +++ b/src/metrics/accuracy.rs @@ -92,7 +92,7 @@ mod tests { let y_pred: Vec = vec![0., 2., 1., 3.]; let y_true: Vec = vec![0., 1., 2., 3.]; - let score1: f64 = Accuracy::::new().get_score( &y_true, &y_pred); + let score1: f64 = Accuracy::::new().get_score(&y_true, &y_pred); let score2: f64 = Accuracy::::new().get_score(&y_true, &y_true); assert!((score1 - 0.5).abs() < 1e-8); @@ -108,7 +108,7 @@ mod tests { let y_pred: Vec = vec![0, 2, 1, 3]; let y_true: Vec = vec![0, 1, 2, 3]; - let score1: f64 = Accuracy::::new().get_score( &y_true, &y_pred); + let score1: f64 = Accuracy::::new().get_score(&y_true, &y_pred); let score2: f64 = Accuracy::::new().get_score(&y_true, &y_true); assert_eq!(score1, 0.5); diff --git a/src/metrics/f1.rs b/src/metrics/f1.rs index f60d81b..437863a 100644 --- a/src/metrics/f1.rs +++ b/src/metrics/f1.rs @@ -92,7 +92,7 @@ mod tests { let y_true: Vec = vec![0., 1., 1., 0., 1., 0.]; let beta = 1.0; - let score1: f64 = F1::new_with(beta).get_score( &y_true, &y_pred); + let score1: f64 = F1::new_with(beta).get_score(&y_true, &y_pred); let score2: f64 = F1::new_with(beta).get_score(&y_true, &y_true); println!("{:?}", score1); diff --git a/src/metrics/mean_absolute_error.rs b/src/metrics/mean_absolute_error.rs index 66ffcb4..5b4000f 100644 --- a/src/metrics/mean_absolute_error.rs +++ b/src/metrics/mean_absolute_error.rs @@ -85,7 +85,7 @@ mod tests { let y_true: Vec = vec![3., -0.5, 2., 7.]; let y_pred: Vec = vec![2.5, 0.0, 2., 8.]; - let score1: f64 = MeanAbsoluteError::new().get_score( &y_true, &y_pred); + let score1: f64 = MeanAbsoluteError::new().get_score(&y_true, &y_pred); let score2: f64 = MeanAbsoluteError::new().get_score(&y_true, &y_true); assert!((score1 - 0.5).abs() < 1e-8); diff --git a/src/metrics/mean_squared_error.rs b/src/metrics/mean_squared_error.rs index f19e89c..ef78fad 100644 --- a/src/metrics/mean_squared_error.rs +++ b/src/metrics/mean_squared_error.rs @@ -85,7 +85,7 @@ mod tests { let y_true: Vec = vec![3., -0.5, 2., 7.]; let y_pred: Vec = vec![2.5, 0.0, 2., 8.]; - let score1: f64 = MeanSquareError::new().get_score( &y_true, &y_pred); + let score1: f64 = MeanSquareError::new().get_score(&y_true, &y_pred); let score2: f64 = MeanSquareError::new().get_score(&y_true, &y_true); assert!((score1 - 0.375).abs() < 1e-8); diff --git a/src/metrics/recall.rs b/src/metrics/recall.rs index 252759e..ab76d97 100644 --- a/src/metrics/recall.rs +++ b/src/metrics/recall.rs @@ -127,7 +127,7 @@ mod tests { let y_true: Vec = vec![0., 0., 0., 1., 1., 1., 2., 2., 2.]; let y_pred: Vec = vec![0., 1., 2., 0., 1., 2., 0., 1., 2.]; - let score1: f64 = Recall::new().get_score( &y_true, &y_pred); + let score1: f64 = Recall::new().get_score(&y_true, &y_pred); let score2: f64 = Recall::new().get_score(&y_pred, &y_pred); assert!((score1 - 0.333333333).abs() < 1e-8);