[INFO] fetching crate sklears-model-selection 0.1.0-alpha.1...
[INFO] checking sklears-model-selection-0.1.0-alpha.1 against master#bad50269f8eb0fda214f0478c3afb2c6fbb427fd for pr-149195-1
[INFO] extracting crate sklears-model-selection 0.1.0-alpha.1 into /workspace/builds/worker-5-tc1/source
[INFO] started tweaking crates.io crate sklears-model-selection 0.1.0-alpha.1
[INFO] removed 0 missing examples
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[INFO] finished tweaking crates.io crate sklears-model-selection 0.1.0-alpha.1
[INFO] tweaked toml for crates.io crate sklears-model-selection 0.1.0-alpha.1 written to /workspace/builds/worker-5-tc1/source/Cargo.toml
[INFO] validating manifest of crates.io crate sklears-model-selection 0.1.0-alpha.1 on toolchain bad50269f8eb0fda214f0478c3afb2c6fbb427fd
[INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+bad50269f8eb0fda214f0478c3afb2c6fbb427fd" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }`
[INFO] crate crates.io crate sklears-model-selection 0.1.0-alpha.1 already has a lockfile, it will not be regenerated
[INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+bad50269f8eb0fda214f0478c3afb2c6fbb427fd" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }`
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[INFO] [stdout] warning: unused import: `scirs2_core::random::Rng`
[INFO] [stdout]     --> src/automl_algorithm_selection.rs:1164:13
[INFO] [stdout]      |
[INFO] [stdout] 1164 |         use scirs2_core::random::Rng;
[INFO] [stdout]      |             ^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]      |
[INFO] [stdout]      = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::random::Rng`
[INFO] [stdout]     --> src/automl_algorithm_selection.rs:1277:13
[INFO] [stdout]      |
[INFO] [stdout] 1277 |         use scirs2_core::random::Rng;
[INFO] [stdout]      |             ^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::random::Rng`
[INFO] [stdout]     --> src/automl_algorithm_selection.rs:1316:13
[INFO] [stdout]      |
[INFO] [stdout] 1316 |         use scirs2_core::random::Rng;
[INFO] [stdout]      |             ^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::random::Rng`
[INFO] [stdout]     --> src/automl_algorithm_selection.rs:1323:13
[INFO] [stdout]      |
[INFO] [stdout] 1323 |         use scirs2_core::random::Rng;
[INFO] [stdout]      |             ^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::rand_prelude::SliceRandom`
[INFO] [stdout]   --> src/automl_feature_engineering.rs:14:5
[INFO] [stdout]    |
[INFO] [stdout] 14 | use scirs2_core::rand_prelude::SliceRandom;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::random::Rng`
[INFO] [stdout]     --> src/automl_feature_engineering.rs:1271:13
[INFO] [stdout]      |
[INFO] [stdout] 1271 |         use scirs2_core::random::Rng;
[INFO] [stdout]      |             ^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::random::Rng`
[INFO] [stdout]     --> src/automl_feature_engineering.rs:1278:13
[INFO] [stdout]      |
[INFO] [stdout] 1278 |         use scirs2_core::random::Rng;
[INFO] [stdout]      |             ^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::random::Rng`
[INFO] [stdout]     --> src/automl_feature_engineering.rs:1310:13
[INFO] [stdout]      |
[INFO] [stdout] 1310 |         use scirs2_core::random::Rng;
[INFO] [stdout]      |             ^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `traits::Estimator`
[INFO] [stdout]   --> src/automl_pipeline.rs:22:5
[INFO] [stdout]    |
[INFO] [stdout] 22 |     traits::Estimator,
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::SliceRandomExt`
[INFO] [stdout]  --> src/validation.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 | use scirs2_core::SliceRandomExt;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::numeric::Float`
[INFO] [stdout]   --> src/model_comparison.rs:16:5
[INFO] [stdout]    |
[INFO] [stdout] 16 | use scirs2_core::numeric::Float as FloatTrait;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Rng`
[INFO] [stdout]    --> src/bias_variance.rs:525:27
[INFO] [stdout]     |
[INFO] [stdout] 525 | use scirs2_core::random::{Rng, SeedableRng};
[INFO] [stdout]     |                           ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::SliceRandomExt`
[INFO] [stdout]    --> src/bias_variance.rs:526:5
[INFO] [stdout]     |
[INFO] [stdout] 526 | use scirs2_core::SliceRandomExt;
[INFO] [stdout]     |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `SeedableRng`
[INFO] [stdout]    --> src/bias_variance.rs:525:32
[INFO] [stdout]     |
[INFO] [stdout] 525 | use scirs2_core::random::{Rng, SeedableRng};
[INFO] [stdout]     |                                ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `numrs2::prelude`
[INFO] [stdout]  --> src/conformal_prediction.rs:6:5
[INFO] [stdout]   |
[INFO] [stdout] 6 | use numrs2::prelude::*;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `numrs2::prelude`
[INFO] [stdout]  --> src/temporal_validation.rs:6:5
[INFO] [stdout]   |
[INFO] [stdout] 6 | use numrs2::prelude::*;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::SliceRandomExt`
[INFO] [stdout]  --> src/cv/repeated_cv.rs:9:5
[INFO] [stdout]   |
[INFO] [stdout] 9 | use scirs2_core::SliceRandomExt;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `numrs2::prelude`
[INFO] [stdout]  --> src/spatial_validation.rs:6:5
[INFO] [stdout]   |
[INFO] [stdout] 6 | use numrs2::prelude::*;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `numrs2::prelude`
[INFO] [stdout]  --> src/drift_detection.rs:6:5
[INFO] [stdout]   |
[INFO] [stdout] 6 | use numrs2::prelude::*;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `traits::Score`
[INFO] [stdout]  --> src/scoring.rs:7:5
[INFO] [stdout]   |
[INFO] [stdout] 7 |     traits::Score,
[INFO] [stdout]   |     ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::numeric::Float`
[INFO] [stdout]  --> src/epistemic_uncertainty/calibration.rs:2:5
[INFO] [stdout]   |
[INFO] [stdout] 2 | use scirs2_core::numeric::Float;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::numeric::Float`
[INFO] [stdout]  --> src/epistemic_uncertainty/ensemble_methods.rs:2:5
[INFO] [stdout]   |
[INFO] [stdout] 2 | use scirs2_core::numeric::Float;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::numeric::Float`
[INFO] [stdout]   --> src/epistemic_uncertainty/epistemic_quantifier.rs:10:5
[INFO] [stdout]    |
[INFO] [stdout] 10 | use scirs2_core::numeric::Float;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::numeric::Float`
[INFO] [stdout]  --> src/epistemic_uncertainty/uncertainty_decomposition.rs:2:5
[INFO] [stdout]   |
[INFO] [stdout] 2 | use scirs2_core::numeric::Float;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::numeric::Float`
[INFO] [stdout]  --> src/epistemic_uncertainty/uncertainty_quantifier.rs:8:5
[INFO] [stdout]   |
[INFO] [stdout] 8 | use scirs2_core::numeric::Float;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::numeric::Float`
[INFO] [stdout]  --> src/epistemic_uncertainty/variance_estimation.rs:2:5
[INFO] [stdout]   |
[INFO] [stdout] 2 | use scirs2_core::numeric::Float;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::random::prelude`
[INFO] [stdout]  --> src/grid_search.rs:7:5
[INFO] [stdout]   |
[INFO] [stdout] 7 | use scirs2_core::random::prelude::*;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::random::Distribution`
[INFO] [stdout]   --> src/noise_injection.rs:10:5
[INFO] [stdout]    |
[INFO] [stdout] 10 | use scirs2_core::random::Distribution;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::numeric::Float`
[INFO] [stdout]   --> src/information_criteria.rs:17:5
[INFO] [stdout]    |
[INFO] [stdout] 17 | use scirs2_core::numeric::Float as FloatTrait;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `X`
[INFO] [stdout]     --> src/automl_algorithm_selection.rs:1205:34
[INFO] [stdout]      |
[INFO] [stdout] 1205 |     fn get_baseline_score(&self, X: &Array2<f64>, y: &Array1<f64>) -> Result<f64> {
[INFO] [stdout]      |                                  ^ help: if this is intentional, prefix it with an underscore: `_X`
[INFO] [stdout]      |
[INFO] [stdout]      = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `X`
[INFO] [stdout]     --> src/automl_algorithm_selection.rs:1275:54
[INFO] [stdout]      |
[INFO] [stdout] 1275 |     fn calculate_correlation_condition_number(&self, X: &Array2<f64>) -> f64 {
[INFO] [stdout]      |                                                      ^ help: if this is intentional, prefix it with an underscore: `_X`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `X`
[INFO] [stdout]     --> src/automl_algorithm_selection.rs:1314:40
[INFO] [stdout]      |
[INFO] [stdout] 1314 |     fn estimate_linearity_score(&self, X: &Array2<f64>, y: &Array1<f64>) -> f64 {
[INFO] [stdout]      |                                        ^ help: if this is intentional, prefix it with an underscore: `_X`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]     --> src/automl_algorithm_selection.rs:1314:57
[INFO] [stdout]      |
[INFO] [stdout] 1314 |     fn estimate_linearity_score(&self, X: &Array2<f64>, y: &Array1<f64>) -> f64 {
[INFO] [stdout]      |                                                         ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `X`
[INFO] [stdout]     --> src/automl_algorithm_selection.rs:1321:36
[INFO] [stdout]      |
[INFO] [stdout] 1321 |     fn estimate_noise_level(&self, X: &Array2<f64>, y: &Array1<f64>) -> f64 {
[INFO] [stdout]      |                                    ^ help: if this is intentional, prefix it with an underscore: `_X`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]     --> src/automl_algorithm_selection.rs:1321:53
[INFO] [stdout]      |
[INFO] [stdout] 1321 |     fn estimate_noise_level(&self, X: &Array2<f64>, y: &Array1<f64>) -> f64 {
[INFO] [stdout]      |                                                     ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> src/automl_feature_engineering.rs:709:9
[INFO] [stdout]     |
[INFO] [stdout] 709 |         y: &Array1<f64>,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `original_X`
[INFO] [stdout]    --> src/automl_feature_engineering.rs:772:9
[INFO] [stdout]     |
[INFO] [stdout] 772 |         original_X: &Array2<f64>,
[INFO] [stdout]     |         ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_original_X`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `enhanced_X`
[INFO] [stdout]    --> src/automl_feature_engineering.rs:773:9
[INFO] [stdout]     |
[INFO] [stdout] 773 |         enhanced_X: &Array2<f64>,
[INFO] [stdout]     |         ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_enhanced_X`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> src/automl_feature_engineering.rs:774:9
[INFO] [stdout]     |
[INFO] [stdout] 774 |         y: &Array1<f64>,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `selected_indices`
[INFO] [stdout]    --> src/automl_feature_engineering.rs:775:9
[INFO] [stdout]     |
[INFO] [stdout] 775 |         selected_indices: &[usize],
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_selected_indices`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `X`
[INFO] [stdout]     --> src/automl_feature_engineering.rs:1269:45
[INFO] [stdout]      |
[INFO] [stdout] 1269 |     fn analyze_correlation_structure(&self, X: &Array2<f64>) -> f64 {
[INFO] [stdout]      |                                             ^ help: if this is intentional, prefix it with an underscore: `_X`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `X`
[INFO] [stdout]     --> src/automl_feature_engineering.rs:1276:34
[INFO] [stdout]      |
[INFO] [stdout] 1276 |     fn estimate_linearity(&self, X: &Array2<f64>, y: &Array1<f64>) -> f64 {
[INFO] [stdout]      |                                  ^ help: if this is intentional, prefix it with an underscore: `_X`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]     --> src/automl_feature_engineering.rs:1276:51
[INFO] [stdout]      |
[INFO] [stdout] 1276 |     fn estimate_linearity(&self, X: &Array2<f64>, y: &Array1<f64>) -> f64 {
[INFO] [stdout]      |                                                   ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `column`
[INFO] [stdout]     --> src/automl_feature_engineering.rs:1308:44
[INFO] [stdout]      |
[INFO] [stdout] 1308 |     fn calculate_feature_importance(&self, column: &ArrayView1<f64>, y: &Array1<f64>) -> f64 {
[INFO] [stdout]      |                                            ^^^^^^ help: if this is intentional, prefix it with an underscore: `_column`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]     --> src/automl_feature_engineering.rs:1308:70
[INFO] [stdout]      |
[INFO] [stdout] 1308 |     fn calculate_feature_importance(&self, column: &ArrayView1<f64>, y: &Array1<f64>) -> f64 {
[INFO] [stdout]      |                                                                      ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `threshold`
[INFO] [stdout]     --> src/automl_feature_engineering.rs:1324:64
[INFO] [stdout]      |
[INFO] [stdout] 1324 |     fn select_by_correlation_threshold(&self, X: &Array2<f64>, threshold: f64) -> Vec<usize> {
[INFO] [stdout]      |                                                                ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_threshold`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `X`
[INFO] [stdout]    --> src/automl_pipeline.rs:598:9
[INFO] [stdout]     |
[INFO] [stdout] 598 |         X: &Array2<f64>,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_X`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> src/automl_pipeline.rs:599:9
[INFO] [stdout]     |
[INFO] [stdout] 599 |         y: &Array1<f64>,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `X`
[INFO] [stdout]    --> src/automl_pipeline.rs:614:9
[INFO] [stdout]     |
[INFO] [stdout] 614 |         X: &Array2<f64>,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_X`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> src/automl_pipeline.rs:615:9
[INFO] [stdout]     |
[INFO] [stdout] 615 |         y: &Array1<f64>,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `X`
[INFO] [stdout]    --> src/automl_pipeline.rs:680:9
[INFO] [stdout]     |
[INFO] [stdout] 680 |         X: &Array2<f64>,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_X`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> src/automl_pipeline.rs:681:9
[INFO] [stdout]     |
[INFO] [stdout] 681 |         y: &Array1<f64>,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `X`
[INFO] [stdout]    --> src/automl_pipeline.rs:691:9
[INFO] [stdout]     |
[INFO] [stdout] 691 |         X: &Array2<f64>,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_X`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> src/automl_pipeline.rs:692:9
[INFO] [stdout]     |
[INFO] [stdout] 692 |         y: &Array1<f64>,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `X`
[INFO] [stdout]    --> src/automl_pipeline.rs:700:40
[INFO] [stdout]     |
[INFO] [stdout] 700 |     fn calculate_baseline_score(&self, X: &Array2<f64>, y: &Array1<f64>) -> Result<f64> {
[INFO] [stdout]     |                                        ^ help: if this is intentional, prefix it with an underscore: `_X`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `beta`
[INFO] [stdout]    --> src/bandit_optimization.rs:671:29
[INFO] [stdout]     |
[INFO] [stdout] 671 |                         let beta = (stats.n_pulls as f64 - stats.sum_rewards) + 1.0;
[INFO] [stdout]     |                             ^^^^ help: if this is intentional, prefix it with an underscore: `_beta`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `arm`
[INFO] [stdout]    --> src/bandit_optimization.rs:726:28
[INFO] [stdout]     |
[INFO] [stdout] 726 |     fn evaluate_arm(&self, arm: usize, x: &Array2<Float>, y: &Array1<Float>) -> Result<f64> {
[INFO] [stdout]     |                            ^^^ help: if this is intentional, prefix it with an underscore: `_arm`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y_train`
[INFO] [stdout]    --> src/bayes_search.rs:370:21
[INFO] [stdout]     |
[INFO] [stdout] 370 |                 let y_train: Array1<i32> = train_indices.iter().map(|&i| y[i]).collect();
[INFO] [stdout]     |                     ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_y_train`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `estimator`
[INFO] [stdout]    --> src/bayes_search.rs:342:9
[INFO] [stdout]     |
[INFO] [stdout] 342 |         estimator: E,
[INFO] [stdout]     |         ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_estimator`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `param_array`
[INFO] [stdout]    --> src/bayes_search.rs:361:13
[INFO] [stdout]     |
[INFO] [stdout] 361 |         let param_array = Array1::from_vec(params.clone());
[INFO] [stdout]     |             ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_param_array`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y_train`
[INFO] [stdout]    --> src/bayes_search.rs:777:21
[INFO] [stdout]     |
[INFO] [stdout] 777 |                 let y_train: Array1<i32> = train_indices.iter().map(|&i| y[i]).collect();
[INFO] [stdout]     |                     ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_y_train`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `estimator`
[INFO] [stdout]    --> src/bayes_search.rs:761:9
[INFO] [stdout]     |
[INFO] [stdout] 761 |         estimator: E,
[INFO] [stdout]     |         ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_estimator`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y_true`
[INFO] [stdout]    --> src/bayesian_model_averaging.rs:422:38
[INFO] [stdout]     |
[INFO] [stdout] 422 |     fn compute_total_evidence(&self, y_true: Option<&ArrayView1<f64>>) -> Result<f64> {
[INFO] [stdout]     |                                      ^^^^^^ help: if this is intentional, prefix it with an underscore: `_y_true`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `bf`
[INFO] [stdout]   --> src/bayesian_model_selection.rs:60:13
[INFO] [stdout]    |
[INFO] [stdout] 60 |         let bf = log_bf.exp();
[INFO] [stdout]    |             ^^ help: if this is intentional, prefix it with an underscore: `_bf`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_models`
[INFO] [stdout]    --> src/bayesian_model_selection.rs:140:13
[INFO] [stdout]     |
[INFO] [stdout] 140 |         let n_models = model_names.len();
[INFO] [stdout]     |             ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_models`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_test`
[INFO] [stdout]    --> src/bias_variance.rs:181:13
[INFO] [stdout]     |
[INFO] [stdout] 181 |         let n_test = x_test.len();
[INFO] [stdout]     |             ^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_test`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> src/cv_model_selection.rs:219:9
[INFO] [stdout]     |
[INFO] [stdout] 219 |         y: &[Y],
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `model`
[INFO] [stdout]    --> src/cv_model_selection.rs:244:26
[INFO] [stdout]     |
[INFO] [stdout] 244 |         for (model_idx, (model, name)) in models.iter().enumerate() {
[INFO] [stdout]     |                          ^^^^^ help: if this is intentional, prefix it with an underscore: `_model`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `idx`
[INFO] [stdout]    --> src/cv_model_selection.rs:363:20
[INFO] [stdout]     |
[INFO] [stdout] 363 |             .map(|(idx, score)| {
[INFO] [stdout]     |                    ^^^ help: if this is intentional, prefix it with an underscore: `_idx`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `consistency_weight`
[INFO] [stdout]    --> src/cv_model_selection.rs:428:17
[INFO] [stdout]     |
[INFO] [stdout] 428 |                 consistency_weight,
[INFO] [stdout]     |                 ^^^^^^^^^^^^^^^^^^ help: try ignoring the field: `consistency_weight: _`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `distance_between_errors`
[INFO] [stdout]    --> src/drift_detection.rs:600:13
[INFO] [stdout]     |
[INFO] [stdout] 600 |         let distance_between_errors = 1.0 / (1.0 - avg_performance + 1e-8);
[INFO] [stdout]     |             ^^^^^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_distance_between_errors`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/drift_detection.rs:670:13
[INFO] [stdout]     |
[INFO] [stdout] 670 |         let i = 0.0;
[INFO] [stdout]     |             ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/drift_detection.rs:692:58
[INFO] [stdout]     |
[INFO] [stdout] 692 |         combined.extend(sample2.iter().enumerate().map(|(i, &x)| (x, 1)));
[INFO] [stdout]     |                                                          ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/drift_detection.rs:691:46
[INFO] [stdout]     |
[INFO] [stdout] 691 |             sample1.iter().enumerate().map(|(i, &x)| (x, 0)).collect();
[INFO] [stdout]     |                                              ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `alpha`
[INFO] [stdout]    --> src/ensemble_evaluation.rs:396:13
[INFO] [stdout]     |
[INFO] [stdout] 396 |         let alpha = 1.0 - confidence_level;
[INFO] [stdout]     |             ^^^^^ help: if this is intentional, prefix it with an underscore: `_alpha`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `cv_strategy`
[INFO] [stdout]    --> src/ensemble_evaluation.rs:459:14
[INFO] [stdout]     |
[INFO] [stdout] 459 |         let (cv_strategy, n_folds) = match &self.config.strategy {
[INFO] [stdout]     |              ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_cv_strategy`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `diversity_threshold`
[INFO] [stdout]    --> src/ensemble_evaluation.rs:581:34
[INFO] [stdout]     |
[INFO] [stdout] 581 |         let (diversity_measures, diversity_threshold) = match &self.config.strategy {
[INFO] [stdout]     |                                  ^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_diversity_threshold`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `stability_metrics`
[INFO] [stdout]    --> src/ensemble_evaluation.rs:698:35
[INFO] [stdout]     |
[INFO] [stdout] 698 |         let (n_bootstrap_samples, stability_metrics) = match &self.config.strategy {
[INFO] [stdout]     |                                   ^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_stability_metrics`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `ensemble_predictions`
[INFO] [stdout]    --> src/ensemble_evaluation.rs:783:9
[INFO] [stdout]     |
[INFO] [stdout] 783 |         ensemble_predictions: &Array2<Float>,
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_ensemble_predictions`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `models`
[INFO] [stdout]    --> src/ensemble_selection.rs:571:9
[INFO] [stdout]     |
[INFO] [stdout] 571 |         models: &[(E, String)],
[INFO] [stdout]     |         ^^^^^^ help: if this is intentional, prefix it with an underscore: `_models`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> src/ensemble_selection.rs:574:9
[INFO] [stdout]     |
[INFO] [stdout] 574 |         y: &[Y],
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `scoring`
[INFO] [stdout]    --> src/ensemble_selection.rs:576:9
[INFO] [stdout]     |
[INFO] [stdout] 576 |         scoring: &dyn Scoring,
[INFO] [stdout]     |         ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_scoring`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `test_indices`
[INFO] [stdout]    --> src/ensemble_selection.rs:587:29
[INFO] [stdout]     |
[INFO] [stdout] 587 |         for (train_indices, test_indices) in &splits {
[INFO] [stdout]     |                             ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_test_indices`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `rng`
[INFO] [stdout]   --> src/epistemic_uncertainty/aleatoric_quantifier.rs:62:13
[INFO] [stdout]    |
[INFO] [stdout] 62 |         let rng = match self.config.random_state {
[INFO] [stdout]    |             ^^^ help: if this is intentional, prefix it with an underscore: `_rng`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `model`
[INFO] [stdout]    --> src/epistemic_uncertainty/bayesian_methods.rs:121:5
[INFO] [stdout]     |
[INFO] [stdout] 121 |     model: &E,
[INFO] [stdout]     |     ^^^^^ help: if this is intentional, prefix it with an underscore: `_model`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `model`
[INFO] [stdout]    --> src/epistemic_uncertainty/bayesian_methods.rs:135:5
[INFO] [stdout]     |
[INFO] [stdout] 135 |     model: &E,
[INFO] [stdout]     |     ^^^^^ help: if this is intentional, prefix it with an underscore: `_model`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `model`
[INFO] [stdout]    --> src/epistemic_uncertainty/bayesian_methods.rs:149:5
[INFO] [stdout]     |
[INFO] [stdout] 149 |     model: &E,
[INFO] [stdout]     |     ^^^^^ help: if this is intentional, prefix it with an underscore: `_model`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]   --> src/epistemic_uncertainty/calibration.rs:82:14
[INFO] [stdout]    |
[INFO] [stdout] 82 |         for (i, (&score, &label)) in scores.iter().zip(labels.iter()).enumerate() {
[INFO] [stdout]    |              ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `model`
[INFO] [stdout]    --> src/epistemic_uncertainty/ensemble_methods.rs:138:5
[INFO] [stdout]     |
[INFO] [stdout] 138 |     model: &E,
[INFO] [stdout]     |     ^^^^^ help: if this is intentional, prefix it with an underscore: `_model`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `model`
[INFO] [stdout]    --> src/epistemic_uncertainty/ensemble_methods.rs:149:5
[INFO] [stdout]     |
[INFO] [stdout] 149 |     model: &E,
[INFO] [stdout]     |     ^^^^^ help: if this is intentional, prefix it with an underscore: `_model`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `model`
[INFO] [stdout]   --> src/epistemic_uncertainty/monte_carlo_methods.rs:64:5
[INFO] [stdout]    |
[INFO] [stdout] 64 |     model: &E,
[INFO] [stdout]    |     ^^^^^ help: if this is intentional, prefix it with an underscore: `_model`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::random::Rng`
[INFO] [stdout]     --> src/automl_algorithm_selection.rs:1164:13
[INFO] [stdout]      |
[INFO] [stdout] 1164 |         use scirs2_core::random::Rng;
[INFO] [stdout]      |             ^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]      |
[INFO] [stdout]      = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::random::Rng`
[INFO] [stdout]     --> src/automl_algorithm_selection.rs:1277:13
[INFO] [stdout]      |
[INFO] [stdout] 1277 |         use scirs2_core::random::Rng;
[INFO] [stdout]      |             ^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::random::Rng`
[INFO] [stdout]     --> src/automl_algorithm_selection.rs:1316:13
[INFO] [stdout]      |
[INFO] [stdout] 1316 |         use scirs2_core::random::Rng;
[INFO] [stdout]      |             ^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::random::Rng`
[INFO] [stdout]     --> src/automl_algorithm_selection.rs:1323:13
[INFO] [stdout]      |
[INFO] [stdout] 1323 |         use scirs2_core::random::Rng;
[INFO] [stdout]      |             ^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::rand_prelude::SliceRandom`
[INFO] [stdout]   --> src/automl_feature_engineering.rs:14:5
[INFO] [stdout]    |
[INFO] [stdout] 14 | use scirs2_core::rand_prelude::SliceRandom;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::random::Rng`
[INFO] [stdout]     --> src/automl_feature_engineering.rs:1271:13
[INFO] [stdout]      |
[INFO] [stdout] 1271 |         use scirs2_core::random::Rng;
[INFO] [stdout]      |             ^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::random::Rng`
[INFO] [stdout]     --> src/automl_feature_engineering.rs:1278:13
[INFO] [stdout]      |
[INFO] [stdout] 1278 |         use scirs2_core::random::Rng;
[INFO] [stdout]      |             ^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::random::Rng`
[INFO] [stdout]     --> src/automl_feature_engineering.rs:1310:13
[INFO] [stdout]      |
[INFO] [stdout] 1310 |         use scirs2_core::random::Rng;
[INFO] [stdout]      |             ^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `traits::Estimator`
[INFO] [stdout]   --> src/automl_pipeline.rs:22:5
[INFO] [stdout]    |
[INFO] [stdout] 22 |     traits::Estimator,
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::SliceRandomExt`
[INFO] [stdout]  --> src/validation.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 | use scirs2_core::SliceRandomExt;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Rng`
[INFO] [stdout]    --> src/bias_variance.rs:525:27
[INFO] [stdout]     |
[INFO] [stdout] 525 | use scirs2_core::random::{Rng, SeedableRng};
[INFO] [stdout]     |                           ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::SliceRandomExt`
[INFO] [stdout]    --> src/bias_variance.rs:526:5
[INFO] [stdout]     |
[INFO] [stdout] 526 | use scirs2_core::SliceRandomExt;
[INFO] [stdout]     |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `SeedableRng`
[INFO] [stdout]    --> src/bias_variance.rs:525:32
[INFO] [stdout]     |
[INFO] [stdout] 525 | use scirs2_core::random::{Rng, SeedableRng};
[INFO] [stdout]     |                                ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `numrs2::prelude`
[INFO] [stdout]  --> src/conformal_prediction.rs:6:5
[INFO] [stdout]   |
[INFO] [stdout] 6 | use numrs2::prelude::*;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `numrs2::prelude`
[INFO] [stdout]  --> src/temporal_validation.rs:6:5
[INFO] [stdout]   |
[INFO] [stdout] 6 | use numrs2::prelude::*;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `numrs2::prelude`
[INFO] [stdout]  --> src/spatial_validation.rs:6:5
[INFO] [stdout]   |
[INFO] [stdout] 6 | use numrs2::prelude::*;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::SliceRandomExt`
[INFO] [stdout]  --> src/cv/repeated_cv.rs:9:5
[INFO] [stdout]   |
[INFO] [stdout] 9 | use scirs2_core::SliceRandomExt;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `traits::Score`
[INFO] [stdout]  --> src/scoring.rs:7:5
[INFO] [stdout]   |
[INFO] [stdout] 7 |     traits::Score,
[INFO] [stdout]   |     ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `numrs2::prelude`
[INFO] [stdout]  --> src/drift_detection.rs:6:5
[INFO] [stdout]   |
[INFO] [stdout] 6 | use numrs2::prelude::*;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::numeric::Float`
[INFO] [stdout]  --> src/epistemic_uncertainty/calibration.rs:2:5
[INFO] [stdout]   |
[INFO] [stdout] 2 | use scirs2_core::numeric::Float;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::numeric::Float`
[INFO] [stdout]  --> src/epistemic_uncertainty/ensemble_methods.rs:2:5
[INFO] [stdout]   |
[INFO] [stdout] 2 | use scirs2_core::numeric::Float;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::numeric::Float`
[INFO] [stdout]   --> src/epistemic_uncertainty/epistemic_quantifier.rs:10:5
[INFO] [stdout]    |
[INFO] [stdout] 10 | use scirs2_core::numeric::Float;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::numeric::Float`
[INFO] [stdout]  --> src/epistemic_uncertainty/uncertainty_decomposition.rs:2:5
[INFO] [stdout]   |
[INFO] [stdout] 2 | use scirs2_core::numeric::Float;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::numeric::Float`
[INFO] [stdout]  --> src/epistemic_uncertainty/uncertainty_quantifier.rs:8:5
[INFO] [stdout]   |
[INFO] [stdout] 8 | use scirs2_core::numeric::Float;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::numeric::Float`
[INFO] [stdout]  --> src/epistemic_uncertainty/variance_estimation.rs:2:5
[INFO] [stdout]   |
[INFO] [stdout] 2 | use scirs2_core::numeric::Float;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::numeric::Float`
[INFO] [stdout]   --> src/model_comparison.rs:16:5
[INFO] [stdout]    |
[INFO] [stdout] 16 | use scirs2_core::numeric::Float as FloatTrait;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::random::Distribution`
[INFO] [stdout]   --> src/noise_injection.rs:10:5
[INFO] [stdout]    |
[INFO] [stdout] 10 | use scirs2_core::random::Distribution;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::numeric::Float`
[INFO] [stdout]   --> src/information_criteria.rs:17:5
[INFO] [stdout]    |
[INFO] [stdout] 17 | use scirs2_core::numeric::Float as FloatTrait;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::random::prelude`
[INFO] [stdout]  --> src/grid_search.rs:7:5
[INFO] [stdout]   |
[INFO] [stdout] 7 | use scirs2_core::random::prelude::*;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n`
[INFO] [stdout]    --> src/epistemic_uncertainty/uncertainty_quantifier.rs:121:13
[INFO] [stdout]     |
[INFO] [stdout] 121 |         let n = total_uncertainty.len();
[INFO] [stdout]     |             ^ help: if this is intentional, prefix it with an underscore: `_n`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `models`
[INFO] [stdout]  --> src/epistemic_uncertainty/variance_estimation.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 |     models: &[E],
[INFO] [stdout]   |     ^^^^^^ help: if this is intentional, prefix it with an underscore: `_models`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_ensemble`
[INFO] [stdout]  --> src/epistemic_uncertainty/variance_estimation.rs:7:5
[INFO] [stdout]   |
[INFO] [stdout] 7 |     n_ensemble: usize,
[INFO] [stdout]   |     ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_ensemble`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `models`
[INFO] [stdout]   --> src/epistemic_uncertainty/variance_estimation.rs:38:5
[INFO] [stdout]    |
[INFO] [stdout] 38 |     models: &[E],
[INFO] [stdout]    |     ^^^^^^ help: if this is intentional, prefix it with an underscore: `_models`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `models`
[INFO] [stdout]   --> src/epistemic_uncertainty/variance_estimation.rs:70:5
[INFO] [stdout]    |
[INFO] [stdout] 70 |     models: &[E],
[INFO] [stdout]    |     ^^^^^^ help: if this is intentional, prefix it with an underscore: `_models`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `models`
[INFO] [stdout]    --> src/epistemic_uncertainty/variance_estimation.rs:109:5
[INFO] [stdout]     |
[INFO] [stdout] 109 |     models: &[E],
[INFO] [stdout]     |     ^^^^^^ help: if this is intentional, prefix it with an underscore: `_models`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `models`
[INFO] [stdout]    --> src/epistemic_uncertainty/variance_estimation.rs:141:5
[INFO] [stdout]     |
[INFO] [stdout] 141 |     models: &[E],
[INFO] [stdout]     |     ^^^^^^ help: if this is intentional, prefix it with an underscore: `_models`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `models`
[INFO] [stdout]    --> src/epistemic_uncertainty/variance_estimation.rs:174:5
[INFO] [stdout]     |
[INFO] [stdout] 174 |     models: &[E],
[INFO] [stdout]     |     ^^^^^^ help: if this is intentional, prefix it with an underscore: `_models`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `models`
[INFO] [stdout]    --> src/epistemic_uncertainty/variance_estimation.rs:212:5
[INFO] [stdout]     |
[INFO] [stdout] 212 |     models: &[E],
[INFO] [stdout]     |     ^^^^^^ help: if this is intentional, prefix it with an underscore: `_models`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `generation`
[INFO] [stdout]     --> src/evolutionary.rs:1029:13
[INFO] [stdout]      |
[INFO] [stdout] 1029 |         for generation in 0..self.n_generations {
[INFO] [stdout]      |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_generation`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `individual`
[INFO] [stdout]     --> src/evolutionary.rs:1092:9
[INFO] [stdout]      |
[INFO] [stdout] 1092 |         individual: &Individual,
[INFO] [stdout]      |         ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_individual`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `X`
[INFO] [stdout]     --> src/automl_algorithm_selection.rs:1205:34
[INFO] [stdout]      |
[INFO] [stdout] 1205 |     fn get_baseline_score(&self, X: &Array2<f64>, y: &Array1<f64>) -> Result<f64> {
[INFO] [stdout]      |                                  ^ help: if this is intentional, prefix it with an underscore: `_X`
[INFO] [stdout]      |
[INFO] [stdout]      = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `X`
[INFO] [stdout]     --> src/automl_algorithm_selection.rs:1275:54
[INFO] [stdout]      |
[INFO] [stdout] 1275 |     fn calculate_correlation_condition_number(&self, X: &Array2<f64>) -> f64 {
[INFO] [stdout]      |                                                      ^ help: if this is intentional, prefix it with an underscore: `_X`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `X`
[INFO] [stdout]     --> src/automl_algorithm_selection.rs:1314:40
[INFO] [stdout]      |
[INFO] [stdout] 1314 |     fn estimate_linearity_score(&self, X: &Array2<f64>, y: &Array1<f64>) -> f64 {
[INFO] [stdout]      |                                        ^ help: if this is intentional, prefix it with an underscore: `_X`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]     --> src/automl_algorithm_selection.rs:1314:57
[INFO] [stdout]      |
[INFO] [stdout] 1314 |     fn estimate_linearity_score(&self, X: &Array2<f64>, y: &Array1<f64>) -> f64 {
[INFO] [stdout]      |                                                         ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `X`
[INFO] [stdout]     --> src/automl_algorithm_selection.rs:1321:36
[INFO] [stdout]      |
[INFO] [stdout] 1321 |     fn estimate_noise_level(&self, X: &Array2<f64>, y: &Array1<f64>) -> f64 {
[INFO] [stdout]      |                                    ^ help: if this is intentional, prefix it with an underscore: `_X`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]     --> src/automl_algorithm_selection.rs:1321:53
[INFO] [stdout]      |
[INFO] [stdout] 1321 |     fn estimate_noise_level(&self, X: &Array2<f64>, y: &Array1<f64>) -> f64 {
[INFO] [stdout]      |                                                     ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> src/automl_feature_engineering.rs:709:9
[INFO] [stdout]     |
[INFO] [stdout] 709 |         y: &Array1<f64>,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `original_X`
[INFO] [stdout]    --> src/automl_feature_engineering.rs:772:9
[INFO] [stdout]     |
[INFO] [stdout] 772 |         original_X: &Array2<f64>,
[INFO] [stdout]     |         ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_original_X`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `enhanced_X`
[INFO] [stdout]    --> src/automl_feature_engineering.rs:773:9
[INFO] [stdout]     |
[INFO] [stdout] 773 |         enhanced_X: &Array2<f64>,
[INFO] [stdout]     |         ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_enhanced_X`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> src/automl_feature_engineering.rs:774:9
[INFO] [stdout]     |
[INFO] [stdout] 774 |         y: &Array1<f64>,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `selected_indices`
[INFO] [stdout]    --> src/automl_feature_engineering.rs:775:9
[INFO] [stdout]     |
[INFO] [stdout] 775 |         selected_indices: &[usize],
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_selected_indices`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `X`
[INFO] [stdout]     --> src/automl_feature_engineering.rs:1269:45
[INFO] [stdout]      |
[INFO] [stdout] 1269 |     fn analyze_correlation_structure(&self, X: &Array2<f64>) -> f64 {
[INFO] [stdout]      |                                             ^ help: if this is intentional, prefix it with an underscore: `_X`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `X`
[INFO] [stdout]     --> src/automl_feature_engineering.rs:1276:34
[INFO] [stdout]      |
[INFO] [stdout] 1276 |     fn estimate_linearity(&self, X: &Array2<f64>, y: &Array1<f64>) -> f64 {
[INFO] [stdout]      |                                  ^ help: if this is intentional, prefix it with an underscore: `_X`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]     --> src/automl_feature_engineering.rs:1276:51
[INFO] [stdout]      |
[INFO] [stdout] 1276 |     fn estimate_linearity(&self, X: &Array2<f64>, y: &Array1<f64>) -> f64 {
[INFO] [stdout]      |                                                   ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `column`
[INFO] [stdout]     --> src/automl_feature_engineering.rs:1308:44
[INFO] [stdout]      |
[INFO] [stdout] 1308 |     fn calculate_feature_importance(&self, column: &ArrayView1<f64>, y: &Array1<f64>) -> f64 {
[INFO] [stdout]      |                                            ^^^^^^ help: if this is intentional, prefix it with an underscore: `_column`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]     --> src/automl_feature_engineering.rs:1308:70
[INFO] [stdout]      |
[INFO] [stdout] 1308 |     fn calculate_feature_importance(&self, column: &ArrayView1<f64>, y: &Array1<f64>) -> f64 {
[INFO] [stdout]      |                                                                      ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/hierarchical_validation.rs:207:39
[INFO] [stdout]     |
[INFO] [stdout] 207 |     fn cluster_based_split(&mut self, n_samples: usize) -> Result<Vec<HierarchicalSplit>> {
[INFO] [stdout]     |                                       ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `threshold`
[INFO] [stdout]     --> src/automl_feature_engineering.rs:1324:64
[INFO] [stdout]      |
[INFO] [stdout] 1324 |     fn select_by_correlation_threshold(&self, X: &Array2<f64>, threshold: f64) -> Vec<usize> {
[INFO] [stdout]      |                                                                ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_threshold`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/hierarchical_validation.rs:317:46
[INFO] [stdout]     |
[INFO] [stdout] 317 |     fn multilevel_bootstrap_split(&mut self, n_samples: usize) -> Result<Vec<HierarchicalSplit>> {
[INFO] [stdout]     |                                              ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/hierarchical_validation.rs:363:44
[INFO] [stdout]     |
[INFO] [stdout] 363 |     fn hierarchical_kfold_split(&mut self, n_samples: usize) -> Result<Vec<HierarchicalSplit>> {
[INFO] [stdout]     |                                            ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/hierarchical_validation.rs:434:47
[INFO] [stdout]     |
[INFO] [stdout] 434 |     fn leave_one_cluster_out_split(&mut self, n_samples: usize) -> Result<Vec<HierarchicalSplit>> {
[INFO] [stdout]     |                                               ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `X`
[INFO] [stdout]    --> src/automl_pipeline.rs:598:9
[INFO] [stdout]     |
[INFO] [stdout] 598 |         X: &Array2<f64>,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_X`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> src/automl_pipeline.rs:599:9
[INFO] [stdout]     |
[INFO] [stdout] 599 |         y: &Array1<f64>,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `X`
[INFO] [stdout]    --> src/automl_pipeline.rs:614:9
[INFO] [stdout]     |
[INFO] [stdout] 614 |         X: &Array2<f64>,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_X`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> src/automl_pipeline.rs:615:9
[INFO] [stdout]     |
[INFO] [stdout] 615 |         y: &Array1<f64>,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `X`
[INFO] [stdout]    --> src/automl_pipeline.rs:680:9
[INFO] [stdout]     |
[INFO] [stdout] 680 |         X: &Array2<f64>,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_X`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> src/automl_pipeline.rs:681:9
[INFO] [stdout]     |
[INFO] [stdout] 681 |         y: &Array1<f64>,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `X`
[INFO] [stdout]    --> src/automl_pipeline.rs:691:9
[INFO] [stdout]     |
[INFO] [stdout] 691 |         X: &Array2<f64>,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_X`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> src/automl_pipeline.rs:692:9
[INFO] [stdout]     |
[INFO] [stdout] 692 |         y: &Array1<f64>,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `estimator`
[INFO] [stdout]    --> src/hierarchical_validation.rs:526:5
[INFO] [stdout]     |
[INFO] [stdout] 526 |     estimator: &M,
[INFO] [stdout]     |     ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_estimator`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x_train`
[INFO] [stdout]    --> src/hierarchical_validation.rs:542:13
[INFO] [stdout]     |
[INFO] [stdout] 542 |         let x_train = x.select(scirs2_core::ndarray::Axis(0), &split.train_indices);
[INFO] [stdout]     |             ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_x_train`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y_train`
[INFO] [stdout]    --> src/hierarchical_validation.rs:543:13
[INFO] [stdout]     |
[INFO] [stdout] 543 |         let y_train = y.select(scirs2_core::ndarray::Axis(0), &split.train_indices);
[INFO] [stdout]     |             ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_y_train`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x_test`
[INFO] [stdout]    --> src/hierarchical_validation.rs:544:13
[INFO] [stdout]     |
[INFO] [stdout] 544 |         let x_test = x.select(scirs2_core::ndarray::Axis(0), &split.test_indices);
[INFO] [stdout]     |             ^^^^^^ help: if this is intentional, prefix it with an underscore: `_x_test`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y_test`
[INFO] [stdout]    --> src/hierarchical_validation.rs:545:13
[INFO] [stdout]     |
[INFO] [stdout] 545 |         let y_test = y.select(scirs2_core::ndarray::Axis(0), &split.test_indices);
[INFO] [stdout]     |             ^^^^^^ help: if this is intentional, prefix it with an underscore: `_y_test`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `X`
[INFO] [stdout]    --> src/automl_pipeline.rs:700:40
[INFO] [stdout]     |
[INFO] [stdout] 700 |     fn calculate_baseline_score(&self, X: &Array2<f64>, y: &Array1<f64>) -> Result<f64> {
[INFO] [stdout]     |                                        ^ help: if this is intentional, prefix it with an underscore: `_X`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/imbalanced_validation.rs:205:13
[INFO] [stdout]     |
[INFO] [stdout] 205 |         let n_samples = y.len();
[INFO] [stdout]     |             ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `class`
[INFO] [stdout]    --> src/imbalanced_validation.rs:234:19
[INFO] [stdout]     |
[INFO] [stdout] 234 |             for (&class, indices) in &class_indices {
[INFO] [stdout]     |                   ^^^^^ help: if this is intentional, prefix it with an underscore: `_class`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `synthetic_count` is assigned to, but never used
[INFO] [stdout]    --> src/imbalanced_validation.rs:316:13
[INFO] [stdout]     |
[INFO] [stdout] 316 |         let mut synthetic_count = 0;
[INFO] [stdout]     |             ^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: consider using `_synthetic_count` instead
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `synthetic_count` is never read
[INFO] [stdout]    --> src/imbalanced_validation.rs:340:25
[INFO] [stdout]     |
[INFO] [stdout] 340 |                         synthetic_count += 1;
[INFO] [stdout]     |                         ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = help: maybe it is overwritten before being read?
[INFO] [stdout]     = note: `#[warn(unused_assignments)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `beta`
[INFO] [stdout]    --> src/bandit_optimization.rs:671:29
[INFO] [stdout]     |
[INFO] [stdout] 671 |                         let beta = (stats.n_pulls as f64 - stats.sum_rewards) + 1.0;
[INFO] [stdout]     |                             ^^^^ help: if this is intentional, prefix it with an underscore: `_beta`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `arm`
[INFO] [stdout]    --> src/bandit_optimization.rs:726:28
[INFO] [stdout]     |
[INFO] [stdout] 726 |     fn evaluate_arm(&self, arm: usize, x: &Array2<Float>, y: &Array1<Float>) -> Result<f64> {
[INFO] [stdout]     |                            ^^^ help: if this is intentional, prefix it with an underscore: `_arm`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `estimator`
[INFO] [stdout]    --> src/imbalanced_validation.rs:575:5
[INFO] [stdout]     |
[INFO] [stdout] 575 |     estimator: &M,
[INFO] [stdout]     |     ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_estimator`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x_train`
[INFO] [stdout]    --> src/imbalanced_validation.rs:595:13
[INFO] [stdout]     |
[INFO] [stdout] 595 |         let x_train = x.select(Axis(0), train_indices);
[INFO] [stdout]     |             ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_x_train`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y_train`
[INFO] [stdout]    --> src/imbalanced_validation.rs:596:13
[INFO] [stdout]     |
[INFO] [stdout] 596 |         let y_train = y.select(Axis(0), train_indices);
[INFO] [stdout]     |             ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_y_train`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x_test`
[INFO] [stdout]    --> src/imbalanced_validation.rs:597:13
[INFO] [stdout]     |
[INFO] [stdout] 597 |         let x_test = x.select(Axis(0), &split.test_indices);
[INFO] [stdout]     |             ^^^^^^ help: if this is intentional, prefix it with an underscore: `_x_test`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y_test`
[INFO] [stdout]    --> src/imbalanced_validation.rs:598:13
[INFO] [stdout]     |
[INFO] [stdout] 598 |         let y_test = y.select(Axis(0), &split.test_indices);
[INFO] [stdout]     |             ^^^^^^ help: if this is intentional, prefix it with an underscore: `_y_test`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y_train`
[INFO] [stdout]    --> src/bayes_search.rs:370:21
[INFO] [stdout]     |
[INFO] [stdout] 370 |                 let y_train: Array1<i32> = train_indices.iter().map(|&i| y[i]).collect();
[INFO] [stdout]     |                     ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_y_train`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `estimator`
[INFO] [stdout]    --> src/bayes_search.rs:342:9
[INFO] [stdout]     |
[INFO] [stdout] 342 |         estimator: E,
[INFO] [stdout]     |         ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_estimator`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `param_array`
[INFO] [stdout]    --> src/bayes_search.rs:361:13
[INFO] [stdout]     |
[INFO] [stdout] 361 |         let param_array = Array1::from_vec(params.clone());
[INFO] [stdout]     |             ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_param_array`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `update_start`
[INFO] [stdout]    --> src/incremental_evaluation.rs:354:13
[INFO] [stdout]     |
[INFO] [stdout] 354 |         let update_start = Instant::now();
[INFO] [stdout]     |             ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_update_start`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `strategy`
[INFO] [stdout]    --> src/incremental_evaluation.rs:480:30
[INFO] [stdout]     |
[INFO] [stdout] 480 |     fn create_drift_detector(strategy: &IncrementalEvaluationStrategy) -> Box<dyn DriftDetector> {
[INFO] [stdout]     |                              ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_strategy`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y_train`
[INFO] [stdout]    --> src/bayes_search.rs:777:21
[INFO] [stdout]     |
[INFO] [stdout] 777 |                 let y_train: Array1<i32> = train_indices.iter().map(|&i| y[i]).collect();
[INFO] [stdout]     |                     ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_y_train`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `estimator`
[INFO] [stdout]    --> src/bayes_search.rs:761:9
[INFO] [stdout]     |
[INFO] [stdout] 761 |         estimator: E,
[INFO] [stdout]     |         ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_estimator`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `acquisition`
[INFO] [stdout]    --> src/bayes_search.rs:956:13
[INFO] [stdout]     |
[INFO] [stdout] 956 |         let acquisition = search.compute_acquisition(&[0.5]).unwrap();
[INFO] [stdout]     |             ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_acquisition`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `normalized_weights`
[INFO] [stdout]    --> src/information_criteria.rs:357:17
[INFO] [stdout]     |
[INFO] [stdout] 357 |             let normalized_weights: Vec<f64> = weights.iter().map(|&w| w / sum_weights).collect();
[INFO] [stdout]     |                 ^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_normalized_weights`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `name`
[INFO] [stdout]    --> src/information_criteria.rs:420:14
[INFO] [stdout]     |
[INFO] [stdout] 420 |         for (name, log_likelihood, n_params, n_data) in models {
[INFO] [stdout]     |              ^^^^ help: if this is intentional, prefix it with an underscore: `_name`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y_true`
[INFO] [stdout]    --> src/bayesian_model_averaging.rs:422:38
[INFO] [stdout]     |
[INFO] [stdout] 422 |     fn compute_total_evidence(&self, y_true: Option<&ArrayView1<f64>>) -> Result<f64> {
[INFO] [stdout]     |                                      ^^^^^^ help: if this is intentional, prefix it with an underscore: `_y_true`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `bf`
[INFO] [stdout]   --> src/bayesian_model_selection.rs:60:13
[INFO] [stdout]    |
[INFO] [stdout] 60 |         let bf = log_bf.exp();
[INFO] [stdout]    |             ^^ help: if this is intentional, prefix it with an underscore: `_bf`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_models`
[INFO] [stdout]    --> src/bayesian_model_selection.rs:140:13
[INFO] [stdout]     |
[INFO] [stdout] 140 |         let n_models = model_names.len();
[INFO] [stdout]     |             ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_models`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_test`
[INFO] [stdout]    --> src/bias_variance.rs:181:13
[INFO] [stdout]     |
[INFO] [stdout] 181 |         let n_test = x_test.len();
[INFO] [stdout]     |             ^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_test`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `dataset_characteristics`
[INFO] [stdout]    --> src/meta_learning.rs:500:9
[INFO] [stdout]     |
[INFO] [stdout] 500 |         dataset_characteristics: &DatasetCharacteristics,
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_dataset_characteristics`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `dataset_characteristics`
[INFO] [stdout]    --> src/meta_learning.rs:549:9
[INFO] [stdout]     |
[INFO] [stdout] 549 |         dataset_characteristics: &DatasetCharacteristics,
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_dataset_characteristics`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `features`
[INFO] [stdout]    --> src/meta_learning.rs:959:9
[INFO] [stdout]     |
[INFO] [stdout] 959 |         features: &Array2<Float>,
[INFO] [stdout]     |         ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_features`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `num`
[INFO] [stdout]    --> src/model_comparison.rs:648:13
[INFO] [stdout]     |
[INFO] [stdout] 648 |         let num = a[4] * x2 + a[3];
[INFO] [stdout]     |             ^^^ help: if this is intentional, prefix it with an underscore: `_num`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `num`
[INFO] [stdout]    --> src/model_comparison.rs:655:13
[INFO] [stdout]     |
[INFO] [stdout] 655 |         let num = a[4] * t + a[3];
[INFO] [stdout]     |             ^^^ help: if this is intentional, prefix it with an underscore: `_num`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `alpha`
[INFO] [stdout]    --> src/model_comparison.rs:736:52
[INFO] [stdout]     |
[INFO] [stdout] 736 | fn benjamini_hochberg_correction(p_values: &[f64], alpha: f64) -> Vec<f64> {
[INFO] [stdout]     |                                                    ^^^^^ help: if this is intentional, prefix it with an underscore: `_alpha`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x_train`
[INFO] [stdout]    --> src/model_complexity.rs:302:41
[INFO] [stdout]     |
[INFO] [stdout] 302 |     fn estimate_feature_count<X>(&self, x_train: &[X]) -> f64 {
[INFO] [stdout]     |                                         ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_x_train`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `label_stats`
[INFO] [stdout]    --> src/multilabel_validation.rs:279:13
[INFO] [stdout]     |
[INFO] [stdout] 279 |         let label_stats = self.label_stats.as_ref().unwrap();
[INFO] [stdout]     |             ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_label_stats`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `estimator`
[INFO] [stdout]    --> src/multilabel_validation.rs:619:5
[INFO] [stdout]     |
[INFO] [stdout] 619 |     estimator: &M,
[INFO] [stdout]     |     ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_estimator`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x_train`
[INFO] [stdout]    --> src/multilabel_validation.rs:634:13
[INFO] [stdout]     |
[INFO] [stdout] 634 |         let x_train = x.select(Axis(0), &split.train_indices);
[INFO] [stdout]     |             ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_x_train`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y_train`
[INFO] [stdout]    --> src/multilabel_validation.rs:635:13
[INFO] [stdout]     |
[INFO] [stdout] 635 |         let y_train = y.select(Axis(0), &split.train_indices);
[INFO] [stdout]     |             ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_y_train`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x_test`
[INFO] [stdout]    --> src/multilabel_validation.rs:636:13
[INFO] [stdout]     |
[INFO] [stdout] 636 |         let x_test = x.select(Axis(0), &split.test_indices);
[INFO] [stdout]     |             ^^^^^^ help: if this is intentional, prefix it with an underscore: `_x_test`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y_test`
[INFO] [stdout]    --> src/multilabel_validation.rs:637:13
[INFO] [stdout]     |
[INFO] [stdout] 637 |         let y_test = y.select(Axis(0), &split.test_indices);
[INFO] [stdout]     |             ^^^^^^ help: if this is intentional, prefix it with an underscore: `_y_test`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `generation`
[INFO] [stdout]    --> src/neural_architecture_search.rs:255:13
[INFO] [stdout]     |
[INFO] [stdout] 255 |         for generation in 0..generations {
[INFO] [stdout]     |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_generation`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `episode`
[INFO] [stdout]    --> src/neural_architecture_search.rs:332:13
[INFO] [stdout]     |
[INFO] [stdout] 332 |         for episode in 0..episodes {
[INFO] [stdout]     |             ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_episode`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `epoch`
[INFO] [stdout]    --> src/neural_architecture_search.rs:409:13
[INFO] [stdout]     |
[INFO] [stdout] 409 |         for epoch in 0..search_epochs {
[INFO] [stdout]     |             ^^^^^ help: if this is intentional, prefix it with an underscore: `_epoch`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `trial`
[INFO] [stdout]    --> src/neural_architecture_search.rs:477:13
[INFO] [stdout]     |
[INFO] [stdout] 477 |         for trial in 0..n_trials {
[INFO] [stdout]     |             ^^^^^ help: if this is intentional, prefix it with an underscore: `_trial`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `stage`
[INFO] [stdout]    --> src/neural_architecture_search.rs:538:13
[INFO] [stdout]     |
[INFO] [stdout] 538 |         for stage in 0..stages {
[INFO] [stdout]     |             ^^^^^ help: if this is intentional, prefix it with an underscore: `_stage`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `policy_weights`
[INFO] [stdout]     --> src/neural_architecture_search.rs:1041:9
[INFO] [stdout]      |
[INFO] [stdout] 1041 |         policy_weights: &HashMap<String, Float>,
[INFO] [stdout]      |         ^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_policy_weights`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `params`
[INFO] [stdout]     --> src/neural_architecture_search.rs:1077:9
[INFO] [stdout]      |
[INFO] [stdout] 1077 |         params: &HashMap<String, Float>,
[INFO] [stdout]      |         ^^^^^^ help: if this is intentional, prefix it with an underscore: `_params`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `key`
[INFO] [stdout]     --> src/neural_architecture_search.rs:1091:14
[INFO] [stdout]      |
[INFO] [stdout] 1091 |         for (key, value) in params.iter_mut() {
[INFO] [stdout]      |              ^^^ help: if this is intentional, prefix it with an underscore: `_key`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `train`
[INFO] [stdout]    --> src/cv/shuffle_cv.rs:493:14
[INFO] [stdout]     |
[INFO] [stdout] 493 |         for (train, test) in &splits {
[INFO] [stdout]     |              ^^^^^ help: if this is intentional, prefix it with an underscore: `_train`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> src/cv_model_selection.rs:219:9
[INFO] [stdout]     |
[INFO] [stdout] 219 |         y: &[Y],
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `model`
[INFO] [stdout]    --> src/cv_model_selection.rs:244:26
[INFO] [stdout]     |
[INFO] [stdout] 244 |         for (model_idx, (model, name)) in models.iter().enumerate() {
[INFO] [stdout]     |                          ^^^^^ help: if this is intentional, prefix it with an underscore: `_model`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `idx`
[INFO] [stdout]    --> src/cv_model_selection.rs:363:20
[INFO] [stdout]     |
[INFO] [stdout] 363 |             .map(|(idx, score)| {
[INFO] [stdout]     |                    ^^^ help: if this is intentional, prefix it with an underscore: `_idx`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `consistency_weight`
[INFO] [stdout]    --> src/cv_model_selection.rs:428:17
[INFO] [stdout]     |
[INFO] [stdout] 428 |                 consistency_weight,
[INFO] [stdout]     |                 ^^^^^^^^^^^^^^^^^^ help: try ignoring the field: `consistency_weight: _`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x_train`
[INFO] [stdout]    --> src/ood_validation.rs:533:9
[INFO] [stdout]     |
[INFO] [stdout] 533 |         x_train: &Array2<Float>,
[INFO] [stdout]     |         ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_x_train`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `sample`
[INFO] [stdout]    --> src/ood_validation.rs:534:9
[INFO] [stdout]     |
[INFO] [stdout] 534 |         sample: &scirs2_core::ndarray::ArrayView1<Float>,
[INFO] [stdout]     |         ^^^^^^ help: if this is intentional, prefix it with an underscore: `_sample`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x_ood`
[INFO] [stdout]    --> src/ood_validation.rs:567:9
[INFO] [stdout]     |
[INFO] [stdout] 567 |         x_ood: &Array2<Float>,
[INFO] [stdout]     |         ^^^^^ help: if this is intentional, prefix it with an underscore: `_x_ood`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `distance_between_errors`
[INFO] [stdout]    --> src/drift_detection.rs:600:13
[INFO] [stdout]     |
[INFO] [stdout] 600 |         let distance_between_errors = 1.0 / (1.0 - avg_performance + 1e-8);
[INFO] [stdout]     |             ^^^^^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_distance_between_errors`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/drift_detection.rs:670:13
[INFO] [stdout]     |
[INFO] [stdout] 670 |         let i = 0.0;
[INFO] [stdout]     |             ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/drift_detection.rs:692:58
[INFO] [stdout]     |
[INFO] [stdout] 692 |         combined.extend(sample2.iter().enumerate().map(|(i, &x)| (x, 1)));
[INFO] [stdout]     |                                                          ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/drift_detection.rs:691:46
[INFO] [stdout]     |
[INFO] [stdout] 691 |             sample1.iter().enumerate().map(|(i, &x)| (x, 0)).collect();
[INFO] [stdout]     |                                              ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `start_time`
[INFO] [stdout]    --> src/parallel_optimization.rs:293:13
[INFO] [stdout]     |
[INFO] [stdout] 293 |         let start_time = Instant::now();
[INFO] [stdout]     |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_start_time`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `acquisition_strategy`
[INFO] [stdout]    --> src/parallel_optimization.rs:825:9
[INFO] [stdout]     |
[INFO] [stdout] 825 |         acquisition_strategy: &BatchAcquisitionStrategy,
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_acquisition_strategy`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `alpha`
[INFO] [stdout]    --> src/ensemble_evaluation.rs:396:13
[INFO] [stdout]     |
[INFO] [stdout] 396 |         let alpha = 1.0 - confidence_level;
[INFO] [stdout]     |             ^^^^^ help: if this is intentional, prefix it with an underscore: `_alpha`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `cv_strategy`
[INFO] [stdout]    --> src/ensemble_evaluation.rs:459:14
[INFO] [stdout]     |
[INFO] [stdout] 459 |         let (cv_strategy, n_folds) = match &self.config.strategy {
[INFO] [stdout]     |              ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_cv_strategy`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `diversity_threshold`
[INFO] [stdout]    --> src/ensemble_evaluation.rs:581:34
[INFO] [stdout]     |
[INFO] [stdout] 581 |         let (diversity_measures, diversity_threshold) = match &self.config.strategy {
[INFO] [stdout]     |                                  ^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_diversity_threshold`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `stability_metrics`
[INFO] [stdout]    --> src/ensemble_evaluation.rs:698:35
[INFO] [stdout]     |
[INFO] [stdout] 698 |         let (n_bootstrap_samples, stability_metrics) = match &self.config.strategy {
[INFO] [stdout]     |                                   ^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_stability_metrics`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `ensemble_predictions`
[INFO] [stdout]    --> src/ensemble_evaluation.rs:783:9
[INFO] [stdout]     |
[INFO] [stdout] 783 |         ensemble_predictions: &Array2<Float>,
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_ensemble_predictions`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `models`
[INFO] [stdout]    --> src/ensemble_selection.rs:571:9
[INFO] [stdout]     |
[INFO] [stdout] 571 |         models: &[(E, String)],
[INFO] [stdout]     |         ^^^^^^ help: if this is intentional, prefix it with an underscore: `_models`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> src/ensemble_selection.rs:574:9
[INFO] [stdout]     |
[INFO] [stdout] 574 |         y: &[Y],
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `scoring`
[INFO] [stdout]    --> src/ensemble_selection.rs:576:9
[INFO] [stdout]     |
[INFO] [stdout] 576 |         scoring: &dyn Scoring,
[INFO] [stdout]     |         ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_scoring`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `test_indices`
[INFO] [stdout]    --> src/ensemble_selection.rs:587:29
[INFO] [stdout]     |
[INFO] [stdout] 587 |         for (train_indices, test_indices) in &splits {
[INFO] [stdout]     |                             ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_test_indices`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `rng`
[INFO] [stdout]   --> src/epistemic_uncertainty/aleatoric_quantifier.rs:62:13
[INFO] [stdout]    |
[INFO] [stdout] 62 |         let rng = match self.config.random_state {
[INFO] [stdout]    |             ^^^ help: if this is intentional, prefix it with an underscore: `_rng`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `model`
[INFO] [stdout]    --> src/epistemic_uncertainty/bayesian_methods.rs:121:5
[INFO] [stdout]     |
[INFO] [stdout] 121 |     model: &E,
[INFO] [stdout]     |     ^^^^^ help: if this is intentional, prefix it with an underscore: `_model`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `model`
[INFO] [stdout]    --> src/epistemic_uncertainty/bayesian_methods.rs:135:5
[INFO] [stdout]     |
[INFO] [stdout] 135 |     model: &E,
[INFO] [stdout]     |     ^^^^^ help: if this is intentional, prefix it with an underscore: `_model`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `model`
[INFO] [stdout]    --> src/epistemic_uncertainty/bayesian_methods.rs:149:5
[INFO] [stdout]     |
[INFO] [stdout] 149 |     model: &E,
[INFO] [stdout]     |     ^^^^^ help: if this is intentional, prefix it with an underscore: `_model`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]   --> src/epistemic_uncertainty/calibration.rs:82:14
[INFO] [stdout]    |
[INFO] [stdout] 82 |         for (i, (&score, &label)) in scores.iter().zip(labels.iter()).enumerate() {
[INFO] [stdout]    |              ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `model`
[INFO] [stdout]    --> src/epistemic_uncertainty/ensemble_methods.rs:138:5
[INFO] [stdout]     |
[INFO] [stdout] 138 |     model: &E,
[INFO] [stdout]     |     ^^^^^ help: if this is intentional, prefix it with an underscore: `_model`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `model`
[INFO] [stdout]    --> src/epistemic_uncertainty/ensemble_methods.rs:149:5
[INFO] [stdout]     |
[INFO] [stdout] 149 |     model: &E,
[INFO] [stdout]     |     ^^^^^ help: if this is intentional, prefix it with an underscore: `_model`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/spatial_validation.rs:165:13
[INFO] [stdout]     |
[INFO] [stdout] 165 |         for i in 0..self.config.n_splits {
[INFO] [stdout]     |             ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `model`
[INFO] [stdout]   --> src/epistemic_uncertainty/monte_carlo_methods.rs:64:5
[INFO] [stdout]    |
[INFO] [stdout] 64 |     model: &E,
[INFO] [stdout]    |     ^^^^^ help: if this is intentional, prefix it with an underscore: `_model`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `splits` is never read
[INFO] [stdout]   --> src/temporal_validation.rs:66:26
[INFO] [stdout]    |
[INFO] [stdout] 66 |         let mut splits = Vec::new();
[INFO] [stdout]    |                          ^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = help: maybe it is overwritten before being read?
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n`
[INFO] [stdout]    --> src/epistemic_uncertainty/uncertainty_quantifier.rs:121:13
[INFO] [stdout]     |
[INFO] [stdout] 121 |         let n = total_uncertainty.len();
[INFO] [stdout]     |             ^ help: if this is intentional, prefix it with an underscore: `_n`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/temporal_validation.rs:206:9
[INFO] [stdout]     |
[INFO] [stdout] 206 |         n_samples: usize,
[INFO] [stdout]     |         ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `models`
[INFO] [stdout]  --> src/epistemic_uncertainty/variance_estimation.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 |     models: &[E],
[INFO] [stdout]   |     ^^^^^^ help: if this is intentional, prefix it with an underscore: `_models`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_ensemble`
[INFO] [stdout]  --> src/epistemic_uncertainty/variance_estimation.rs:7:5
[INFO] [stdout]   |
[INFO] [stdout] 7 |     n_ensemble: usize,
[INFO] [stdout]   |     ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_ensemble`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `models`
[INFO] [stdout]   --> src/epistemic_uncertainty/variance_estimation.rs:38:5
[INFO] [stdout]    |
[INFO] [stdout] 38 |     models: &[E],
[INFO] [stdout]    |     ^^^^^^ help: if this is intentional, prefix it with an underscore: `_models`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `models`
[INFO] [stdout]   --> src/epistemic_uncertainty/variance_estimation.rs:70:5
[INFO] [stdout]    |
[INFO] [stdout] 70 |     models: &[E],
[INFO] [stdout]    |     ^^^^^^ help: if this is intentional, prefix it with an underscore: `_models`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `models`
[INFO] [stdout]    --> src/epistemic_uncertainty/variance_estimation.rs:109:5
[INFO] [stdout]     |
[INFO] [stdout] 109 |     models: &[E],
[INFO] [stdout]     |     ^^^^^^ help: if this is intentional, prefix it with an underscore: `_models`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `models`
[INFO] [stdout]    --> src/epistemic_uncertainty/variance_estimation.rs:141:5
[INFO] [stdout]     |
[INFO] [stdout] 141 |     models: &[E],
[INFO] [stdout]     |     ^^^^^^ help: if this is intentional, prefix it with an underscore: `_models`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `models`
[INFO] [stdout]    --> src/epistemic_uncertainty/variance_estimation.rs:174:5
[INFO] [stdout]     |
[INFO] [stdout] 174 |     models: &[E],
[INFO] [stdout]     |     ^^^^^^ help: if this is intentional, prefix it with an underscore: `_models`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `models`
[INFO] [stdout]    --> src/epistemic_uncertainty/variance_estimation.rs:212:5
[INFO] [stdout]     |
[INFO] [stdout] 212 |     models: &[E],
[INFO] [stdout]     |     ^^^^^^ help: if this is intentional, prefix it with an underscore: `_models`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `season`
[INFO] [stdout]    --> src/temporal_validation.rs:264:14
[INFO] [stdout]     |
[INFO] [stdout] 264 |         for (season, indices) in seasonal_groups {
[INFO] [stdout]     |              ^^^^^^ help: if this is intentional, prefix it with an underscore: `_season`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/temporal_validation.rs:314:9
[INFO] [stdout]     |
[INFO] [stdout] 314 |         n_samples: usize,
[INFO] [stdout]     |         ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `alpha`
[INFO] [stdout]    --> src/validation.rs:479:9
[INFO] [stdout]     |
[INFO] [stdout] 479 |     let alpha = 1.0 - confidence;
[INFO] [stdout]     |         ^^^^^ help: if this is intentional, prefix it with an underscore: `_alpha`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `confidence`
[INFO] [stdout]    --> src/validation.rs:705:9
[INFO] [stdout]     |
[INFO] [stdout] 705 |     let confidence = confidence_level.unwrap_or(0.95);
[INFO] [stdout]     |         ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_confidence`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `z_score`
[INFO] [stdout]    --> src/validation.rs:706:9
[INFO] [stdout]     |
[INFO] [stdout] 706 |     let z_score = 1.96; // Approximate 95% confidence interval
[INFO] [stdout]     |         ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_z_score`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `generation`
[INFO] [stdout]     --> src/evolutionary.rs:1029:13
[INFO] [stdout]      |
[INFO] [stdout] 1029 |         for generation in 0..self.n_generations {
[INFO] [stdout]      |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_generation`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `individual`
[INFO] [stdout]     --> src/evolutionary.rs:1092:9
[INFO] [stdout]      |
[INFO] [stdout] 1092 |         individual: &Individual,
[INFO] [stdout]      |         ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_individual`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `problem_id`
[INFO] [stdout]    --> src/warm_start.rs:580:14
[INFO] [stdout]     |
[INFO] [stdout] 580 |         for (problem_id, history) in &self.problem_histories {
[INFO] [stdout]     |              ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_problem_id`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/worst_case_validation.rs:533:22
[INFO] [stdout]     |
[INFO] [stdout] 533 |                 for (i, label) in shift_y.iter_mut().enumerate() {
[INFO] [stdout]     |                      ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/worst_case_validation.rs:753:22
[INFO] [stdout]     |
[INFO] [stdout] 753 |                 for (i, label) in noisy_y.iter_mut().enumerate() {
[INFO] [stdout]     |                      ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/hierarchical_validation.rs:207:39
[INFO] [stdout]     |
[INFO] [stdout] 207 |     fn cluster_based_split(&mut self, n_samples: usize) -> Result<Vec<HierarchicalSplit>> {
[INFO] [stdout]     |                                       ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/hierarchical_validation.rs:317:46
[INFO] [stdout]     |
[INFO] [stdout] 317 |     fn multilevel_bootstrap_split(&mut self, n_samples: usize) -> Result<Vec<HierarchicalSplit>> {
[INFO] [stdout]     |                                              ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/hierarchical_validation.rs:363:44
[INFO] [stdout]     |
[INFO] [stdout] 363 |     fn hierarchical_kfold_split(&mut self, n_samples: usize) -> Result<Vec<HierarchicalSplit>> {
[INFO] [stdout]     |                                            ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/hierarchical_validation.rs:434:47
[INFO] [stdout]     |
[INFO] [stdout] 434 |     fn leave_one_cluster_out_split(&mut self, n_samples: usize) -> Result<Vec<HierarchicalSplit>> {
[INFO] [stdout]     |                                               ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `estimator`
[INFO] [stdout]    --> src/hierarchical_validation.rs:526:5
[INFO] [stdout]     |
[INFO] [stdout] 526 |     estimator: &M,
[INFO] [stdout]     |     ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_estimator`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x_train`
[INFO] [stdout]    --> src/hierarchical_validation.rs:542:13
[INFO] [stdout]     |
[INFO] [stdout] 542 |         let x_train = x.select(scirs2_core::ndarray::Axis(0), &split.train_indices);
[INFO] [stdout]     |             ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_x_train`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y_train`
[INFO] [stdout]    --> src/hierarchical_validation.rs:543:13
[INFO] [stdout]     |
[INFO] [stdout] 543 |         let y_train = y.select(scirs2_core::ndarray::Axis(0), &split.train_indices);
[INFO] [stdout]     |             ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_y_train`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x_test`
[INFO] [stdout]    --> src/hierarchical_validation.rs:544:13
[INFO] [stdout]     |
[INFO] [stdout] 544 |         let x_test = x.select(scirs2_core::ndarray::Axis(0), &split.test_indices);
[INFO] [stdout]     |             ^^^^^^ help: if this is intentional, prefix it with an underscore: `_x_test`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y_test`
[INFO] [stdout]    --> src/hierarchical_validation.rs:545:13
[INFO] [stdout]     |
[INFO] [stdout] 545 |         let y_test = y.select(scirs2_core::ndarray::Axis(0), &split.test_indices);
[INFO] [stdout]     |             ^^^^^^ help: if this is intentional, prefix it with an underscore: `_y_test`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/imbalanced_validation.rs:205:13
[INFO] [stdout]     |
[INFO] [stdout] 205 |         let n_samples = y.len();
[INFO] [stdout]     |             ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `class`
[INFO] [stdout]    --> src/imbalanced_validation.rs:234:19
[INFO] [stdout]     |
[INFO] [stdout] 234 |             for (&class, indices) in &class_indices {
[INFO] [stdout]     |                   ^^^^^ help: if this is intentional, prefix it with an underscore: `_class`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `synthetic_count` is assigned to, but never used
[INFO] [stdout]    --> src/imbalanced_validation.rs:316:13
[INFO] [stdout]     |
[INFO] [stdout] 316 |         let mut synthetic_count = 0;
[INFO] [stdout]     |             ^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: consider using `_synthetic_count` instead
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `synthetic_count` is never read
[INFO] [stdout]    --> src/imbalanced_validation.rs:340:25
[INFO] [stdout]     |
[INFO] [stdout] 340 |                         synthetic_count += 1;
[INFO] [stdout]     |                         ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = help: maybe it is overwritten before being read?
[INFO] [stdout]     = note: `#[warn(unused_assignments)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `estimator`
[INFO] [stdout]    --> src/imbalanced_validation.rs:575:5
[INFO] [stdout]     |
[INFO] [stdout] 575 |     estimator: &M,
[INFO] [stdout]     |     ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_estimator`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x_train`
[INFO] [stdout]    --> src/imbalanced_validation.rs:595:13
[INFO] [stdout]     |
[INFO] [stdout] 595 |         let x_train = x.select(Axis(0), train_indices);
[INFO] [stdout]     |             ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_x_train`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y_train`
[INFO] [stdout]    --> src/imbalanced_validation.rs:596:13
[INFO] [stdout]     |
[INFO] [stdout] 596 |         let y_train = y.select(Axis(0), train_indices);
[INFO] [stdout]     |             ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_y_train`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x_test`
[INFO] [stdout]    --> src/imbalanced_validation.rs:597:13
[INFO] [stdout]     |
[INFO] [stdout] 597 |         let x_test = x.select(Axis(0), &split.test_indices);
[INFO] [stdout]     |             ^^^^^^ help: if this is intentional, prefix it with an underscore: `_x_test`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y_test`
[INFO] [stdout]    --> src/imbalanced_validation.rs:598:13
[INFO] [stdout]     |
[INFO] [stdout] 598 |         let y_test = y.select(Axis(0), &split.test_indices);
[INFO] [stdout]     |             ^^^^^^ help: if this is intentional, prefix it with an underscore: `_y_test`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `update_start`
[INFO] [stdout]    --> src/incremental_evaluation.rs:354:13
[INFO] [stdout]     |
[INFO] [stdout] 354 |         let update_start = Instant::now();
[INFO] [stdout]     |             ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_update_start`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `strategy`
[INFO] [stdout]    --> src/incremental_evaluation.rs:480:30
[INFO] [stdout]     |
[INFO] [stdout] 480 |     fn create_drift_detector(strategy: &IncrementalEvaluationStrategy) -> Box<dyn DriftDetector> {
[INFO] [stdout]     |                              ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_strategy`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `normalized_weights`
[INFO] [stdout]    --> src/information_criteria.rs:357:17
[INFO] [stdout]     |
[INFO] [stdout] 357 |             let normalized_weights: Vec<f64> = weights.iter().map(|&w| w / sum_weights).collect();
[INFO] [stdout]     |                 ^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_normalized_weights`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `name`
[INFO] [stdout]    --> src/information_criteria.rs:420:14
[INFO] [stdout]     |
[INFO] [stdout] 420 |         for (name, log_likelihood, n_params, n_data) in models {
[INFO] [stdout]     |              ^^^^ help: if this is intentional, prefix it with an underscore: `_name`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unexpected `cfg` condition value: `incomplete-benchmarks`
[INFO] [stdout]  --> benches/performance_comparison.rs:1:8
[INFO] [stdout]   |
[INFO] [stdout] 1 | #![cfg(feature = "incomplete-benchmarks")]
[INFO] [stdout]   |        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: expected values for `feature` are: `default`, `optimization`, `parallel`, `rayon`, `scirs2-optimize`, `serde`, and `std`
[INFO] [stdout]   = help: consider adding `incomplete-benchmarks` as a feature in `Cargo.toml`
[INFO] [stdout]   = note: see <https://doc.rust-lang.org/nightly/rustc/check-cfg/cargo-specifics.html> for more information about checking conditional configuration
[INFO] [stdout]   = note: `#[warn(unexpected_cfgs)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `dataset_characteristics`
[INFO] [stdout]    --> src/meta_learning.rs:500:9
[INFO] [stdout]     |
[INFO] [stdout] 500 |         dataset_characteristics: &DatasetCharacteristics,
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_dataset_characteristics`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `dataset_characteristics`
[INFO] [stdout]    --> src/meta_learning.rs:549:9
[INFO] [stdout]     |
[INFO] [stdout] 549 |         dataset_characteristics: &DatasetCharacteristics,
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_dataset_characteristics`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unexpected `cfg` condition value: `incomplete-benchmarks`
[INFO] [stdout]  --> benches/simple_benchmark.rs:1:8
[INFO] [stdout]   |
[INFO] [stdout] 1 | #![cfg(feature = "incomplete-benchmarks")]
[INFO] [stdout]   |        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: expected values for `feature` are: `default`, `optimization`, `parallel`, `rayon`, `scirs2-optimize`, `serde`, and `std`
[INFO] [stdout]   = help: consider adding `incomplete-benchmarks` as a feature in `Cargo.toml`
[INFO] [stdout]   = note: see <https://doc.rust-lang.org/nightly/rustc/check-cfg/cargo-specifics.html> for more information about checking conditional configuration
[INFO] [stdout]   = note: `#[warn(unexpected_cfgs)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unexpected `cfg` condition value: `incomplete-benchmarks`
[INFO] [stdout]  --> benches/optimization_benchmark.rs:1:8
[INFO] [stdout]   |
[INFO] [stdout] 1 | #![cfg(feature = "incomplete-benchmarks")]
[INFO] [stdout]   |        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: expected values for `feature` are: `default`, `optimization`, `parallel`, `rayon`, `scirs2-optimize`, `serde`, and `std`
[INFO] [stdout]   = help: consider adding `incomplete-benchmarks` as a feature in `Cargo.toml`
[INFO] [stdout]   = note: see <https://doc.rust-lang.org/nightly/rustc/check-cfg/cargo-specifics.html> for more information about checking conditional configuration
[INFO] [stdout]   = note: `#[warn(unexpected_cfgs)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unexpected `cfg` condition value: `incomplete-benchmarks`
[INFO] [stdout]  --> benches/stress_benchmark.rs:1:8
[INFO] [stdout]   |
[INFO] [stdout] 1 | #![cfg(feature = "incomplete-benchmarks")]
[INFO] [stdout]   |        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: expected values for `feature` are: `default`, `optimization`, `parallel`, `rayon`, `scirs2-optimize`, `serde`, and `std`
[INFO] [stdout]   = help: consider adding `incomplete-benchmarks` as a feature in `Cargo.toml`
[INFO] [stdout]   = note: see <https://doc.rust-lang.org/nightly/rustc/check-cfg/cargo-specifics.html> for more information about checking conditional configuration
[INFO] [stdout]   = note: `#[warn(unexpected_cfgs)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unexpected `cfg` condition value: `incomplete-benchmarks`
[INFO] [stdout]  --> benches/cross_validation_benchmark.rs:1:8
[INFO] [stdout]   |
[INFO] [stdout] 1 | #![cfg(feature = "incomplete-benchmarks")]
[INFO] [stdout]   |        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: expected values for `feature` are: `default`, `optimization`, `parallel`, `rayon`, `scirs2-optimize`, `serde`, and `std`
[INFO] [stdout]   = help: consider adding `incomplete-benchmarks` as a feature in `Cargo.toml`
[INFO] [stdout]   = note: see <https://doc.rust-lang.org/nightly/rustc/check-cfg/cargo-specifics.html> for more information about checking conditional configuration
[INFO] [stdout]   = note: `#[warn(unexpected_cfgs)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `features`
[INFO] [stdout]    --> src/meta_learning.rs:959:9
[INFO] [stdout]     |
[INFO] [stdout] 959 |         features: &Array2<Float>,
[INFO] [stdout]     |         ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_features`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `num`
[INFO] [stdout]    --> src/model_comparison.rs:648:13
[INFO] [stdout]     |
[INFO] [stdout] 648 |         let num = a[4] * x2 + a[3];
[INFO] [stdout]     |             ^^^ help: if this is intentional, prefix it with an underscore: `_num`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `num`
[INFO] [stdout]    --> src/model_comparison.rs:655:13
[INFO] [stdout]     |
[INFO] [stdout] 655 |         let num = a[4] * t + a[3];
[INFO] [stdout]     |             ^^^ help: if this is intentional, prefix it with an underscore: `_num`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `alpha`
[INFO] [stdout]    --> src/model_comparison.rs:736:52
[INFO] [stdout]     |
[INFO] [stdout] 736 | fn benjamini_hochberg_correction(p_values: &[f64], alpha: f64) -> Vec<f64> {
[INFO] [stdout]     |                                                    ^^^^^ help: if this is intentional, prefix it with an underscore: `_alpha`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x_train`
[INFO] [stdout]    --> src/model_complexity.rs:302:41
[INFO] [stdout]     |
[INFO] [stdout] 302 |     fn estimate_feature_count<X>(&self, x_train: &[X]) -> f64 {
[INFO] [stdout]     |                                         ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_x_train`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x`
[INFO] [stdout]    --> tests/convergence_tests.rs:101:13
[INFO] [stdout]     |
[INFO] [stdout] 101 |         let x: Array2<f64> =
[INFO] [stdout]     |             ^ help: if this is intentional, prefix it with an underscore: `_x`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> tests/convergence_tests.rs:103:13
[INFO] [stdout]     |
[INFO] [stdout] 103 |         let y: Array1<f64> =
[INFO] [stdout]     |             ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x`
[INFO] [stdout]    --> tests/convergence_tests.rs:157:13
[INFO] [stdout]     |
[INFO] [stdout] 157 |         let x: Array2<f64> =
[INFO] [stdout]     |             ^ help: if this is intentional, prefix it with an underscore: `_x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> tests/convergence_tests.rs:159:13
[INFO] [stdout]     |
[INFO] [stdout] 159 |         let y: Array1<f64> =
[INFO] [stdout]     |             ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x`
[INFO] [stdout]    --> tests/convergence_tests.rs:183:13
[INFO] [stdout]     |
[INFO] [stdout] 183 |         let x: Array2<f64> =
[INFO] [stdout]     |             ^ help: if this is intentional, prefix it with an underscore: `_x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> tests/convergence_tests.rs:185:13
[INFO] [stdout]     |
[INFO] [stdout] 185 |         let y: Array1<f64> =
[INFO] [stdout]     |             ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x`
[INFO] [stdout]    --> tests/convergence_tests.rs:208:13
[INFO] [stdout]     |
[INFO] [stdout] 208 |         let x: Array2<f64> =
[INFO] [stdout]     |             ^ help: if this is intentional, prefix it with an underscore: `_x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> tests/convergence_tests.rs:210:13
[INFO] [stdout]     |
[INFO] [stdout] 210 |         let y: Array1<f64> =
[INFO] [stdout]     |             ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]   --> examples/hyperparameter_tuning_demo.rs:58:9
[INFO] [stdout]    |
[INFO] [stdout] 58 |         y: &Array1<f64>,
[INFO] [stdout]    |         ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `rng`
[INFO] [stdout]    --> tests/convergence_tests.rs:224:13
[INFO] [stdout]     |
[INFO] [stdout] 224 |         let rng = seeded_rng(42);
[INFO] [stdout]     |             ^^^ help: if this is intentional, prefix it with an underscore: `_rng`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `rng`
[INFO] [stdout]    --> tests/convergence_tests.rs:247:13
[INFO] [stdout]     |
[INFO] [stdout] 247 |         let rng = seeded_rng(42);
[INFO] [stdout]     |             ^^^ help: if this is intentional, prefix it with an underscore: `_rng`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: methods `get_params` and `score` are never used
[INFO] [stdout]   --> tests/convergence_tests.rs:35:12
[INFO] [stdout]    |
[INFO] [stdout] 23 |     impl MockEstimator {
[INFO] [stdout]    |     ------------------ methods in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 35 |         fn get_params(&self) -> &HashMap<String, GridParameterValue> {
[INFO] [stdout]    |            ^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 40 |         fn score(&self, _x: &Array2<f64>, _y: &Array1<f64>) -> f64 {
[INFO] [stdout]    |            ^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `params` is never read
[INFO] [stdout]   --> tests/convergence_tests.rs:57:9
[INFO] [stdout]    |
[INFO] [stdout] 56 |     struct MockTrainedEstimator {
[INFO] [stdout]    |            -------------------- field in this struct
[INFO] [stdout] 57 |         params: HashMap<String, GridParameterValue>,
[INFO] [stdout]    |         ^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `MockTrainedEstimator` has derived impls for the traits `Debug` and `Clone`, but these are intentionally ignored during dead code analysis
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `MockScorer` is never constructed
[INFO] [stdout]    --> tests/convergence_tests.rs:352:12
[INFO] [stdout]     |
[INFO] [stdout] 352 |     struct MockScorer {
[INFO] [stdout]     |            ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new` is never used
[INFO] [stdout]    --> tests/convergence_tests.rs:357:12
[INFO] [stdout]     |
[INFO] [stdout] 356 |     impl MockScorer {
[INFO] [stdout]     |     --------------- associated function in this implementation
[INFO] [stdout] 357 |         fn new() -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `mock_model`
[INFO] [stdout]    --> examples/hyperparameter_tuning_demo.rs:160:9
[INFO] [stdout]     |
[INFO] [stdout] 160 |     let mock_model = MockLinearModel::new();
[INFO] [stdout]     |         ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_mock_model`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: methods `with_alpha` and `with_fit_intercept` are never used
[INFO] [stdout]   --> examples/hyperparameter_tuning_demo.rs:31:8
[INFO] [stdout]    |
[INFO] [stdout] 21 | impl MockLinearModel {
[INFO] [stdout]    | -------------------- methods in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 31 |     fn with_alpha(mut self, alpha: f64) -> Self {
[INFO] [stdout]    |        ^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 36 |     fn with_fit_intercept(mut self, fit_intercept: bool) -> Self {
[INFO] [stdout]    |        ^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `label_stats`
[INFO] [stdout]    --> src/multilabel_validation.rs:279:13
[INFO] [stdout]     |
[INFO] [stdout] 279 |         let label_stats = self.label_stats.as_ref().unwrap();
[INFO] [stdout]     |             ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_label_stats`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `estimator`
[INFO] [stdout]    --> src/multilabel_validation.rs:619:5
[INFO] [stdout]     |
[INFO] [stdout] 619 |     estimator: &M,
[INFO] [stdout]     |     ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_estimator`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x_train`
[INFO] [stdout]    --> src/multilabel_validation.rs:634:13
[INFO] [stdout]     |
[INFO] [stdout] 634 |         let x_train = x.select(Axis(0), &split.train_indices);
[INFO] [stdout]     |             ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_x_train`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y_train`
[INFO] [stdout]    --> src/multilabel_validation.rs:635:13
[INFO] [stdout]     |
[INFO] [stdout] 635 |         let y_train = y.select(Axis(0), &split.train_indices);
[INFO] [stdout]     |             ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_y_train`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x_test`
[INFO] [stdout]    --> src/multilabel_validation.rs:636:13
[INFO] [stdout]     |
[INFO] [stdout] 636 |         let x_test = x.select(Axis(0), &split.test_indices);
[INFO] [stdout]     |             ^^^^^^ help: if this is intentional, prefix it with an underscore: `_x_test`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y_test`
[INFO] [stdout]    --> src/multilabel_validation.rs:637:13
[INFO] [stdout]     |
[INFO] [stdout] 637 |         let y_test = y.select(Axis(0), &split.test_indices);
[INFO] [stdout]     |             ^^^^^^ help: if this is intentional, prefix it with an underscore: `_y_test`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `generation`
[INFO] [stdout]    --> src/neural_architecture_search.rs:255:13
[INFO] [stdout]     |
[INFO] [stdout] 255 |         for generation in 0..generations {
[INFO] [stdout]     |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_generation`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `episode`
[INFO] [stdout]    --> src/neural_architecture_search.rs:332:13
[INFO] [stdout]     |
[INFO] [stdout] 332 |         for episode in 0..episodes {
[INFO] [stdout]     |             ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_episode`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `epoch`
[INFO] [stdout]    --> src/neural_architecture_search.rs:409:13
[INFO] [stdout]     |
[INFO] [stdout] 409 |         for epoch in 0..search_epochs {
[INFO] [stdout]     |             ^^^^^ help: if this is intentional, prefix it with an underscore: `_epoch`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `trial`
[INFO] [stdout]    --> src/neural_architecture_search.rs:477:13
[INFO] [stdout]     |
[INFO] [stdout] 477 |         for trial in 0..n_trials {
[INFO] [stdout]     |             ^^^^^ help: if this is intentional, prefix it with an underscore: `_trial`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `stage`
[INFO] [stdout]    --> src/neural_architecture_search.rs:538:13
[INFO] [stdout]     |
[INFO] [stdout] 538 |         for stage in 0..stages {
[INFO] [stdout]     |             ^^^^^ help: if this is intentional, prefix it with an underscore: `_stage`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `policy_weights`
[INFO] [stdout]     --> src/neural_architecture_search.rs:1041:9
[INFO] [stdout]      |
[INFO] [stdout] 1041 |         policy_weights: &HashMap<String, Float>,
[INFO] [stdout]      |         ^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_policy_weights`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `params`
[INFO] [stdout]     --> src/neural_architecture_search.rs:1077:9
[INFO] [stdout]      |
[INFO] [stdout] 1077 |         params: &HashMap<String, Float>,
[INFO] [stdout]      |         ^^^^^^ help: if this is intentional, prefix it with an underscore: `_params`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `key`
[INFO] [stdout]     --> src/neural_architecture_search.rs:1091:14
[INFO] [stdout]      |
[INFO] [stdout] 1091 |         for (key, value) in params.iter_mut() {
[INFO] [stdout]      |              ^^^ help: if this is intentional, prefix it with an underscore: `_key`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x_train`
[INFO] [stdout]    --> src/ood_validation.rs:533:9
[INFO] [stdout]     |
[INFO] [stdout] 533 |         x_train: &Array2<Float>,
[INFO] [stdout]     |         ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_x_train`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `sample`
[INFO] [stdout]    --> src/ood_validation.rs:534:9
[INFO] [stdout]     |
[INFO] [stdout] 534 |         sample: &scirs2_core::ndarray::ArrayView1<Float>,
[INFO] [stdout]     |         ^^^^^^ help: if this is intentional, prefix it with an underscore: `_sample`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x_ood`
[INFO] [stdout]    --> src/ood_validation.rs:567:9
[INFO] [stdout]     |
[INFO] [stdout] 567 |         x_ood: &Array2<Float>,
[INFO] [stdout]     |         ^^^^^ help: if this is intentional, prefix it with an underscore: `_x_ood`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `start_time`
[INFO] [stdout]    --> src/parallel_optimization.rs:293:13
[INFO] [stdout]     |
[INFO] [stdout] 293 |         let start_time = Instant::now();
[INFO] [stdout]     |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_start_time`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `acquisition_strategy`
[INFO] [stdout]    --> src/parallel_optimization.rs:825:9
[INFO] [stdout]     |
[INFO] [stdout] 825 |         acquisition_strategy: &BatchAcquisitionStrategy,
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_acquisition_strategy`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/spatial_validation.rs:165:13
[INFO] [stdout]     |
[INFO] [stdout] 165 |         for i in 0..self.config.n_splits {
[INFO] [stdout]     |             ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `splits` is never read
[INFO] [stdout]   --> src/temporal_validation.rs:66:26
[INFO] [stdout]    |
[INFO] [stdout] 66 |         let mut splits = Vec::new();
[INFO] [stdout]    |                          ^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = help: maybe it is overwritten before being read?
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/temporal_validation.rs:206:9
[INFO] [stdout]     |
[INFO] [stdout] 206 |         n_samples: usize,
[INFO] [stdout]     |         ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `season`
[INFO] [stdout]    --> src/temporal_validation.rs:264:14
[INFO] [stdout]     |
[INFO] [stdout] 264 |         for (season, indices) in seasonal_groups {
[INFO] [stdout]     |              ^^^^^^ help: if this is intentional, prefix it with an underscore: `_season`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/temporal_validation.rs:314:9
[INFO] [stdout]     |
[INFO] [stdout] 314 |         n_samples: usize,
[INFO] [stdout]     |         ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `alpha`
[INFO] [stdout]    --> src/validation.rs:479:9
[INFO] [stdout]     |
[INFO] [stdout] 479 |     let alpha = 1.0 - confidence;
[INFO] [stdout]     |         ^^^^^ help: if this is intentional, prefix it with an underscore: `_alpha`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `confidence`
[INFO] [stdout]    --> src/validation.rs:705:9
[INFO] [stdout]     |
[INFO] [stdout] 705 |     let confidence = confidence_level.unwrap_or(0.95);
[INFO] [stdout]     |         ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_confidence`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `z_score`
[INFO] [stdout]    --> src/validation.rs:706:9
[INFO] [stdout]     |
[INFO] [stdout] 706 |     let z_score = 1.96; // Approximate 95% confidence interval
[INFO] [stdout]     |         ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_z_score`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `problem_id`
[INFO] [stdout]    --> src/warm_start.rs:580:14
[INFO] [stdout]     |
[INFO] [stdout] 580 |         for (problem_id, history) in &self.problem_histories {
[INFO] [stdout]     |              ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_problem_id`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/worst_case_validation.rs:533:22
[INFO] [stdout]     |
[INFO] [stdout] 533 |                 for (i, label) in shift_y.iter_mut().enumerate() {
[INFO] [stdout]     |                      ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/worst_case_validation.rs:753:22
[INFO] [stdout]     |
[INFO] [stdout] 753 |                 for (i, label) in noisy_y.iter_mut().enumerate() {
[INFO] [stdout]     |                      ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]     Finished `dev` profile [unoptimized + debuginfo] target(s) in 2m 22s
[INFO] running `Command { std: "docker" "inspect" "8aa97ca0645a1581504adf5f7b26430cf4e8fe23187fc131855930b143f8ebac", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "8aa97ca0645a1581504adf5f7b26430cf4e8fe23187fc131855930b143f8ebac", kill_on_drop: false }`
[INFO] [stdout] 8aa97ca0645a1581504adf5f7b26430cf4e8fe23187fc131855930b143f8ebac
