[INFO] cloning repository https://github.com/nvasudevan/ml-smart [INFO] running `Command { std: "git" "-c" "credential.helper=" "-c" "credential.helper=/workspace/cargo-home/bin/git-credential-null" "clone" "--bare" "https://github.com/nvasudevan/ml-smart" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fnvasudevan%2Fml-smart", kill_on_drop: false }` [INFO] [stderr] Cloning into bare repository '/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fnvasudevan%2Fml-smart'... [INFO] running `Command { std: "git" "rev-parse" "HEAD", kill_on_drop: false }` [INFO] [stdout] 7495448d4ec9dcc972e27bf745c68328971f0271 [INFO] checking nvasudevan/ml-smart against master#5a8a44196b3cf099f8c9b0156bd902eaec0b4e5f for pr-87248 [INFO] running `Command { std: "git" "clone" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fnvasudevan%2Fml-smart" "/workspace/builds/worker-3/source", kill_on_drop: false }` [INFO] [stderr] Cloning into '/workspace/builds/worker-3/source'... [INFO] [stderr] done. [INFO] validating manifest of git repo https://github.com/nvasudevan/ml-smart on toolchain 5a8a44196b3cf099f8c9b0156bd902eaec0b4e5f [INFO] running `Command { std: "/workspace/cargo-home/bin/cargo" "+5a8a44196b3cf099f8c9b0156bd902eaec0b4e5f" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }` [INFO] started tweaking git repo https://github.com/nvasudevan/ml-smart [INFO] finished tweaking git repo https://github.com/nvasudevan/ml-smart [INFO] tweaked toml for git repo https://github.com/nvasudevan/ml-smart written to /workspace/builds/worker-3/source/Cargo.toml [INFO] crate git repo https://github.com/nvasudevan/ml-smart already has a lockfile, it will not be regenerated [INFO] running `Command { std: "/workspace/cargo-home/bin/cargo" "+5a8a44196b3cf099f8c9b0156bd902eaec0b4e5f" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }` [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-3/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-3/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:34b6a614d2c27851fe6cbf88fbd1137609cefab8b10d0615aaeb6fd47975d74e" "/opt/rustwide/cargo-home/bin/cargo" "+5a8a44196b3cf099f8c9b0156bd902eaec0b4e5f" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }` [INFO] [stderr] WARNING: Your kernel does not support swap limit capabilities or the cgroup is not mounted. Memory limited without swap. [INFO] [stdout] 49026ec925650058b75f335225ab188a35cd85574636ec8dcc5da5fbef5201cf [INFO] running `Command { std: "docker" "start" "-a" "49026ec925650058b75f335225ab188a35cd85574636ec8dcc5da5fbef5201cf", kill_on_drop: false }` [INFO] running `Command { std: "docker" "inspect" "49026ec925650058b75f335225ab188a35cd85574636ec8dcc5da5fbef5201cf", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "49026ec925650058b75f335225ab188a35cd85574636ec8dcc5da5fbef5201cf", kill_on_drop: false }` [INFO] [stdout] 49026ec925650058b75f335225ab188a35cd85574636ec8dcc5da5fbef5201cf [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-3/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-3/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=forbid" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:34b6a614d2c27851fe6cbf88fbd1137609cefab8b10d0615aaeb6fd47975d74e" "/opt/rustwide/cargo-home/bin/cargo" "+5a8a44196b3cf099f8c9b0156bd902eaec0b4e5f" "check" "--frozen" "--all" "--all-targets" "--message-format=json", kill_on_drop: false }` [INFO] [stdout] 0ddd7084310743ffafda9cd709096573fb013044168aea1293dfd28db375ec9a [INFO] [stderr] WARNING: Your kernel does not support swap limit capabilities or the cgroup is not mounted. Memory limited without swap. [INFO] running `Command { std: "docker" "start" "-a" "0ddd7084310743ffafda9cd709096573fb013044168aea1293dfd28db375ec9a", kill_on_drop: false }` [INFO] [stderr] Compiling autocfg v1.0.1 [INFO] [stderr] Compiling libc v0.2.94 [INFO] [stderr] Checking cfg-if v1.0.0 [INFO] [stderr] Compiling proc-macro2 v1.0.26 [INFO] [stderr] Checking lazy_static v1.4.0 [INFO] [stderr] Compiling syn v1.0.72 [INFO] [stderr] Compiling crossbeam-utils v0.8.5 [INFO] [stderr] Compiling serde_derive v1.0.125 [INFO] [stderr] Compiling getrandom v0.1.16 [INFO] [stderr] Compiling serde v1.0.125 [INFO] [stderr] Checking byteorder v1.4.3 [INFO] [stderr] Compiling ryu v1.0.5 [INFO] [stderr] Checking scopeguard v1.1.0 [INFO] [stderr] Compiling rayon-core v1.9.1 [INFO] [stderr] Checking ppv-lite86 v0.2.10 [INFO] [stderr] Checking itoa v0.4.7 [INFO] [stderr] Checking either v1.6.1 [INFO] [stderr] Checking regex-automata v0.1.9 [INFO] [stderr] Compiling num-traits v0.2.14 [INFO] [stderr] Compiling num-integer v0.1.44 [INFO] [stderr] Compiling memoffset v0.6.4 [INFO] [stderr] Compiling num-bigint v0.3.2 [INFO] [stderr] Compiling num-rational v0.3.2 [INFO] [stderr] Compiling num-iter v0.1.42 [INFO] [stderr] Compiling rayon v1.5.1 [INFO] [stderr] Checking crossbeam-channel v0.5.1 [INFO] [stderr] Checking crossbeam-epoch v0.9.5 [INFO] [stderr] Compiling quote v1.0.9 [INFO] [stderr] Checking crossbeam-deque v0.8.0 [INFO] [stderr] Checking dirs v1.0.5 [INFO] [stderr] Checking num_cpus v1.13.0 [INFO] [stderr] Checking atty v0.2.14 [INFO] [stderr] Checking term v0.5.2 [INFO] [stderr] Checking rand_core v0.5.1 [INFO] [stderr] Checking num-complex v0.3.1 [INFO] [stderr] Checking rand_chacha v0.2.2 [INFO] [stderr] Checking rand v0.7.3 [INFO] [stderr] Checking rand_distr v0.3.0 [INFO] [stderr] Checking num v0.3.1 [INFO] [stderr] Checking bstr v0.2.16 [INFO] [stderr] Checking smartcore v0.2.0 [INFO] [stderr] Checking csv v1.1.6 [INFO] [stderr] Checking prettytable-rs v0.8.0 [INFO] [stderr] Checking ml-smart v0.1.0 (/opt/rustwide/workdir) [INFO] [stdout] warning: unused imports: `MLResult`, `show` [INFO] [stdout] --> src/main.rs:1:22 [INFO] [stdout] | [INFO] [stdout] 1 | use crate::results::{MLResult, show}; [INFO] [stdout] | ^^^^^^^^ ^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `prettytable::Table` [INFO] [stdout] --> src/main.rs:2:5 [INFO] [stdout] | [INFO] [stdout] 2 | use prettytable::Table; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `crate::results::MLResult` [INFO] [stdout] --> src/dataset/mod.rs:9:5 [INFO] [stdout] | [INFO] [stdout] 9 | use crate::results::MLResult; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `smartcore::ensemble::random_forest_classifier::RandomForestClassifier` [INFO] [stdout] --> src/flags/mod.rs:2:5 [INFO] [stdout] | [INFO] [stdout] 2 | use smartcore::ensemble::random_forest_classifier::RandomForestClassifier; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `knn_classifier::KNNClassifier` [INFO] [stdout] --> src/flags/mod.rs:13:5 [INFO] [stdout] | [INFO] [stdout] 13 | knn_classifier::KNNClassifier, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `smartcore::tree::decision_tree_classifier::DecisionTreeClassifier` [INFO] [stdout] --> src/flags/mod.rs:16:5 [INFO] [stdout] | [INFO] [stdout] 16 | use smartcore::tree::decision_tree_classifier::DecisionTreeClassifier; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `crate::dataset::flag::Flag` [INFO] [stdout] --> src/flags/random_forest.rs:12:5 [INFO] [stdout] | [INFO] [stdout] 12 | use crate::dataset::flag::Flag; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `crate::flags::validate_predict` [INFO] [stdout] --> src/flags/random_forest.rs:13:5 [INFO] [stdout] | [INFO] [stdout] 13 | use crate::flags::validate_predict; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `euclidian::Euclidian`, `hamming::Hamming`, `manhattan::Manhattan` [INFO] [stdout] --> src/flags/knn_classifier.rs:6:5 [INFO] [stdout] | [INFO] [stdout] 6 | euclidian::Euclidian, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] 7 | hamming::Hamming, [INFO] [stdout] | ^^^^^^^^^^^^^^^^ [INFO] [stdout] 8 | manhattan::Manhattan, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `smartcore::neighbors::knn_regressor::KNNRegressor` [INFO] [stdout] --> src/flags/knn_classifier.rs:13:5 [INFO] [stdout] | [INFO] [stdout] 13 | use smartcore::neighbors::knn_regressor::KNNRegressor; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `flags::knn_regression` [INFO] [stdout] --> src/flags/knn_classifier.rs:19:5 [INFO] [stdout] | [INFO] [stdout] 19 | flags::knn_regression, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `crate::dataset::flag::Flag` [INFO] [stdout] --> src/flags/decision_tree_classifier.rs:12:5 [INFO] [stdout] | [INFO] [stdout] 12 | use crate::dataset::flag::Flag; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `crate::flags::validate_predict` [INFO] [stdout] --> src/flags/decision_tree_classifier.rs:13:5 [INFO] [stdout] | [INFO] [stdout] 13 | use crate::flags::validate_predict; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `KMeansParameters`, `KMeans` [INFO] [stdout] --> src/flags/kmeans.rs:1:34 [INFO] [stdout] | [INFO] [stdout] 1 | use smartcore::cluster::kmeans::{KMeans, KMeansParameters}; [INFO] [stdout] | ^^^^^^ ^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `digits` [INFO] [stdout] --> src/flags/kmeans.rs:2:35 [INFO] [stdout] | [INFO] [stdout] 2 | use smartcore::dataset::{Dataset, digits}; [INFO] [stdout] | ^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `accuracy`, `completeness_score`, `homogeneity_score`, `mean_absolute_error` [INFO] [stdout] --> src/flags/kmeans.rs:4:26 [INFO] [stdout] | [INFO] [stdout] 4 | use smartcore::metrics::{accuracy, mean_absolute_error, completeness_score, homogeneity_score}; [INFO] [stdout] | ^^^^^^^^ ^^^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `crate::dataset::DatasetParseError` [INFO] [stdout] --> src/flags/kmeans.rs:6:5 [INFO] [stdout] | [INFO] [stdout] 6 | use crate::dataset::DatasetParseError; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `MLResult` [INFO] [stdout] --> src/flags/kmeans.rs:7:22 [INFO] [stdout] | [INFO] [stdout] 7 | use crate::results::{MLResult, best_k, KMeansResult}; [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `DBSCANParameters`, `DBSCAN` [INFO] [stdout] --> src/flags/dbscan.rs:4:34 [INFO] [stdout] | [INFO] [stdout] 4 | use smartcore::cluster::dbscan::{DBSCAN, DBSCANParameters}; [INFO] [stdout] | ^^^^^^ ^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `smartcore::linalg::naive::dense_matrix::DenseMatrix` [INFO] [stdout] --> src/flags/dbscan.rs:6:5 [INFO] [stdout] | [INFO] [stdout] 6 | use smartcore::linalg::naive::dense_matrix::DenseMatrix; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `smartcore::math::distance::Distances` [INFO] [stdout] --> src/flags/dbscan.rs:7:5 [INFO] [stdout] | [INFO] [stdout] 7 | use smartcore::math::distance::Distances; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `accuracy`, `mean_absolute_error` [INFO] [stdout] --> src/flags/dbscan.rs:8:26 [INFO] [stdout] | [INFO] [stdout] 8 | use smartcore::metrics::{accuracy, mean_absolute_error}; [INFO] [stdout] | ^^^^^^^^ ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `smartcore::model_selection::train_test_split` [INFO] [stdout] --> src/flags/dbscan.rs:9:5 [INFO] [stdout] | [INFO] [stdout] 9 | use smartcore::model_selection::train_test_split; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `algo_params_as_str` [INFO] [stdout] --> src/flags/dbscan.rs:11:13 [INFO] [stdout] | [INFO] [stdout] 11 | use crate::{algo_params_as_str, KNNDistance}; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `smartcore::linalg::BaseMatrix` [INFO] [stdout] --> src/flags/dbscan.rs:14:5 [INFO] [stdout] | [INFO] [stdout] 14 | use smartcore::linalg::BaseMatrix; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `std::fmt` [INFO] [stdout] --> src/digits.rs:1:5 [INFO] [stdout] | [INFO] [stdout] 1 | use std::fmt; [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `std::fmt::Formatter` [INFO] [stdout] --> src/digits.rs:2:5 [INFO] [stdout] | [INFO] [stdout] 2 | use std::fmt::Formatter; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Duration` [INFO] [stdout] --> src/digits.rs:3:17 [INFO] [stdout] | [INFO] [stdout] 3 | use std::time::{Duration, Instant}; [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `KMeansParameters`, `KMeans` [INFO] [stdout] --> src/digits.rs:6:34 [INFO] [stdout] | [INFO] [stdout] 6 | use smartcore::cluster::kmeans::{KMeans, KMeansParameters}; [INFO] [stdout] | ^^^^^^ ^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Dataset` [INFO] [stdout] --> src/digits.rs:7:26 [INFO] [stdout] | [INFO] [stdout] 7 | use smartcore::dataset::{Dataset, digits}; [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `completeness_score`, `homogeneity_score`, `v_measure_score` [INFO] [stdout] --> src/digits.rs:9:26 [INFO] [stdout] | [INFO] [stdout] 9 | use smartcore::metrics::{completeness_score, homogeneity_score, v_measure_score}; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `MLResult`, `show` [INFO] [stdout] --> src/main.rs:1:22 [INFO] [stdout] | [INFO] [stdout] 1 | use crate::results::{MLResult, show}; [INFO] [stdout] | ^^^^^^^^ ^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `prettytable::Table` [INFO] [stdout] --> src/main.rs:2:5 [INFO] [stdout] | [INFO] [stdout] 2 | use prettytable::Table; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `crate::results::MLResult` [INFO] [stdout] --> src/dataset/mod.rs:9:5 [INFO] [stdout] | [INFO] [stdout] 9 | use crate::results::MLResult; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Dataset` [INFO] [stdout] --> src/dataset/wine.rs:137:17 [INFO] [stdout] | [INFO] [stdout] 137 | use super::{Dataset, load_dataset}; [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `smartcore::ensemble::random_forest_classifier::RandomForestClassifier` [INFO] [stdout] --> src/flags/mod.rs:2:5 [INFO] [stdout] | [INFO] [stdout] 2 | use smartcore::ensemble::random_forest_classifier::RandomForestClassifier; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `knn_classifier::KNNClassifier` [INFO] [stdout] --> src/flags/mod.rs:13:5 [INFO] [stdout] | [INFO] [stdout] 13 | knn_classifier::KNNClassifier, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `smartcore::tree::decision_tree_classifier::DecisionTreeClassifier` [INFO] [stdout] --> src/flags/mod.rs:16:5 [INFO] [stdout] | [INFO] [stdout] 16 | use smartcore::tree::decision_tree_classifier::DecisionTreeClassifier; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `crate::dataset::flag::Flag` [INFO] [stdout] --> src/flags/random_forest.rs:12:5 [INFO] [stdout] | [INFO] [stdout] 12 | use crate::dataset::flag::Flag; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `crate::flags::validate_predict` [INFO] [stdout] --> src/flags/random_forest.rs:13:5 [INFO] [stdout] | [INFO] [stdout] 13 | use crate::flags::validate_predict; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `euclidian::Euclidian`, `hamming::Hamming`, `manhattan::Manhattan` [INFO] [stdout] --> src/flags/knn_classifier.rs:6:5 [INFO] [stdout] | [INFO] [stdout] 6 | euclidian::Euclidian, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] 7 | hamming::Hamming, [INFO] [stdout] | ^^^^^^^^^^^^^^^^ [INFO] [stdout] 8 | manhattan::Manhattan, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `smartcore::neighbors::knn_regressor::KNNRegressor` [INFO] [stdout] --> src/flags/knn_classifier.rs:13:5 [INFO] [stdout] | [INFO] [stdout] 13 | use smartcore::neighbors::knn_regressor::KNNRegressor; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `flags::knn_regression` [INFO] [stdout] --> src/flags/knn_classifier.rs:19:5 [INFO] [stdout] | [INFO] [stdout] 19 | flags::knn_regression, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `crate::dataset::flag::Flag` [INFO] [stdout] --> src/flags/decision_tree_classifier.rs:12:5 [INFO] [stdout] | [INFO] [stdout] 12 | use crate::dataset::flag::Flag; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `crate::flags::validate_predict` [INFO] [stdout] --> src/flags/decision_tree_classifier.rs:13:5 [INFO] [stdout] | [INFO] [stdout] 13 | use crate::flags::validate_predict; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `KMeansParameters`, `KMeans` [INFO] [stdout] --> src/flags/kmeans.rs:1:34 [INFO] [stdout] | [INFO] [stdout] 1 | use smartcore::cluster::kmeans::{KMeans, KMeansParameters}; [INFO] [stdout] | ^^^^^^ ^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `digits` [INFO] [stdout] --> src/flags/kmeans.rs:2:35 [INFO] [stdout] | [INFO] [stdout] 2 | use smartcore::dataset::{Dataset, digits}; [INFO] [stdout] | ^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `accuracy`, `completeness_score`, `homogeneity_score`, `mean_absolute_error` [INFO] [stdout] --> src/flags/kmeans.rs:4:26 [INFO] [stdout] | [INFO] [stdout] 4 | use smartcore::metrics::{accuracy, mean_absolute_error, completeness_score, homogeneity_score}; [INFO] [stdout] | ^^^^^^^^ ^^^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `crate::dataset::DatasetParseError` [INFO] [stdout] --> src/flags/kmeans.rs:6:5 [INFO] [stdout] | [INFO] [stdout] 6 | use crate::dataset::DatasetParseError; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `MLResult` [INFO] [stdout] --> src/flags/kmeans.rs:7:22 [INFO] [stdout] | [INFO] [stdout] 7 | use crate::results::{MLResult, best_k, KMeansResult}; [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `DBSCANParameters`, `DBSCAN` [INFO] [stdout] --> src/flags/dbscan.rs:4:34 [INFO] [stdout] | [INFO] [stdout] 4 | use smartcore::cluster::dbscan::{DBSCAN, DBSCANParameters}; [INFO] [stdout] | ^^^^^^ ^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `smartcore::linalg::naive::dense_matrix::DenseMatrix` [INFO] [stdout] --> src/flags/dbscan.rs:6:5 [INFO] [stdout] | [INFO] [stdout] 6 | use smartcore::linalg::naive::dense_matrix::DenseMatrix; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `smartcore::math::distance::Distances` [INFO] [stdout] --> src/flags/dbscan.rs:7:5 [INFO] [stdout] | [INFO] [stdout] 7 | use smartcore::math::distance::Distances; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `accuracy`, `mean_absolute_error` [INFO] [stdout] --> src/flags/dbscan.rs:8:26 [INFO] [stdout] | [INFO] [stdout] 8 | use smartcore::metrics::{accuracy, mean_absolute_error}; [INFO] [stdout] | ^^^^^^^^ ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `smartcore::model_selection::train_test_split` [INFO] [stdout] --> src/flags/dbscan.rs:9:5 [INFO] [stdout] | [INFO] [stdout] 9 | use smartcore::model_selection::train_test_split; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `algo_params_as_str` [INFO] [stdout] --> src/flags/dbscan.rs:11:13 [INFO] [stdout] | [INFO] [stdout] 11 | use crate::{algo_params_as_str, KNNDistance}; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `smartcore::linalg::BaseMatrix` [INFO] [stdout] --> src/flags/dbscan.rs:14:5 [INFO] [stdout] | [INFO] [stdout] 14 | use smartcore::linalg::BaseMatrix; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `std::fmt` [INFO] [stdout] --> src/digits.rs:1:5 [INFO] [stdout] | [INFO] [stdout] 1 | use std::fmt; [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `std::fmt::Formatter` [INFO] [stdout] --> src/digits.rs:2:5 [INFO] [stdout] | [INFO] [stdout] 2 | use std::fmt::Formatter; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Duration` [INFO] [stdout] --> src/digits.rs:3:17 [INFO] [stdout] | [INFO] [stdout] 3 | use std::time::{Duration, Instant}; [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `KMeansParameters`, `KMeans` [INFO] [stdout] --> src/digits.rs:6:34 [INFO] [stdout] | [INFO] [stdout] 6 | use smartcore::cluster::kmeans::{KMeans, KMeansParameters}; [INFO] [stdout] | ^^^^^^ ^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Dataset` [INFO] [stdout] --> src/digits.rs:7:26 [INFO] [stdout] | [INFO] [stdout] 7 | use smartcore::dataset::{Dataset, digits}; [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `completeness_score`, `homogeneity_score`, `v_measure_score` [INFO] [stdout] --> src/digits.rs:9:26 [INFO] [stdout] | [INFO] [stdout] 9 | use smartcore::metrics::{completeness_score, homogeneity_score, v_measure_score}; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `iris_results` [INFO] [stdout] --> src/main.rs:75:9 [INFO] [stdout] | [INFO] [stdout] 75 | let iris_results = iris::run() [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_iris_results` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `flag_recs` [INFO] [stdout] --> src/flags/mod.rs:177:10 [INFO] [stdout] | [INFO] [stdout] 177 | let (flag_recs, ds) = flag::load_dataset_tgt_religion(FLAG_DATASET)?; [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_flag_recs` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `flag_recs` [INFO] [stdout] --> src/flags/mod.rs:197:10 [INFO] [stdout] | [INFO] [stdout] 197 | let (flag_recs, ds) = flag::load_dataset_tgt_language(FLAG_DATASET)?; [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_flag_recs` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `opt_params` [INFO] [stdout] --> src/flags/random_forest.rs:84:17 [INFO] [stdout] | [INFO] [stdout] 84 | let opt_params = RandomForestClassifierParameters { [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_opt_params` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `weight` [INFO] [stdout] --> src/flags/knn_classifier.rs:169:33 [INFO] [stdout] | [INFO] [stdout] 169 | fn run_algorithm(&mut self, weight: KNNWeightFunction) -> Result<(), DatasetParseError> { [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_weight` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `params` [INFO] [stdout] --> src/flags/dbscan.rs:157:21 [INFO] [stdout] | [INFO] [stdout] 157 | let params = DBScanParams::new(0.5, dist, algo); [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_params` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/flags/mod.rs:198:9 [INFO] [stdout] | [INFO] [stdout] 198 | let mut results = Vec::::new(); [INFO] [stdout] | ----^^^^^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_mut)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/flags/knn_classifier.rs:70:21 [INFO] [stdout] | [INFO] [stdout] 70 | let mut params = KNNClassifierParameters::default() [INFO] [stdout] | ----^^^^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/flags/decision_tree_classifier.rs:45:9 [INFO] [stdout] | [INFO] [stdout] 45 | let mut params = DecisionTreeClassifierParameters::default() [INFO] [stdout] | ----^^^^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/flags/dbscan.rs:168:9 [INFO] [stdout] | [INFO] [stdout] 168 | let mut dbscan_run = DBScanRun::new(ds); [INFO] [stdout] | ----^^^^^^^^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/iris/mod.rs:192:9 [INFO] [stdout] | [INFO] [stdout] 192 | let mut results = Vec::::new(); [INFO] [stdout] | ----^^^^^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `knn_classify` [INFO] [stdout] --> src/boston.rs:16:4 [INFO] [stdout] | [INFO] [stdout] 16 | fn knn_classify(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(dead_code)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `knn_regression` [INFO] [stdout] --> src/boston.rs:35:4 [INFO] [stdout] | [INFO] [stdout] 35 | fn knn_regression(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `linear_regression` [INFO] [stdout] --> src/boston.rs:54:4 [INFO] [stdout] | [INFO] [stdout] 54 | fn linear_regression(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `logistic_regression` [INFO] [stdout] --> src/boston.rs:82:4 [INFO] [stdout] | [INFO] [stdout] 82 | fn logistic_regression(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `gaussianNB` [INFO] [stdout] --> src/boston.rs:110:4 [INFO] [stdout] | [INFO] [stdout] 110 | fn gaussianNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `categoricalNB` [INFO] [stdout] --> src/boston.rs:138:4 [INFO] [stdout] | [INFO] [stdout] 138 | fn categoricalNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `multinomialNB` [INFO] [stdout] --> src/boston.rs:166:4 [INFO] [stdout] | [INFO] [stdout] 166 | fn multinomialNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `run` [INFO] [stdout] --> src/boston.rs:194:15 [INFO] [stdout] | [INFO] [stdout] 194 | pub(crate) fn run() -> Result, DatasetParseError> { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant is never used: `WINE_DATASET_SAMPLES_SIZE` [INFO] [stdout] --> src/dataset/wine.rs:6:1 [INFO] [stdout] | [INFO] [stdout] 6 | const WINE_DATASET_SAMPLES_SIZE: usize = 178; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant is never used: `WINE_DATASET_NO_FEATURES` [INFO] [stdout] --> src/dataset/wine.rs:7:1 [INFO] [stdout] | [INFO] [stdout] 7 | const WINE_DATASET_NO_FEATURES: usize = 13; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function is never used: `features` [INFO] [stdout] --> src/dataset/wine.rs:28:8 [INFO] [stdout] | [INFO] [stdout] 28 | fn features(&self) -> [f32;13] { [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function is never used: `target` [INFO] [stdout] --> src/dataset/wine.rs:48:8 [INFO] [stdout] | [INFO] [stdout] 48 | fn target(&self) -> f32 { [INFO] [stdout] | ^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `parse_data_file` [INFO] [stdout] --> src/dataset/wine.rs:53:4 [INFO] [stdout] | [INFO] [stdout] 53 | fn parse_data_file(data_file: &str) -> Result, DatasetParseError> { [INFO] [stdout] | ^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `load_dataset` [INFO] [stdout] --> src/dataset/wine.rs:100:15 [INFO] [stdout] | [INFO] [stdout] 100 | pub(crate) fn load_dataset(data_file: &str) -> Result, DatasetParseError> { [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function is never used: `features` [INFO] [stdout] --> src/dataset/wine_quality.rs:28:8 [INFO] [stdout] | [INFO] [stdout] 28 | fn features(&self) -> [f32; 11] { [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function is never used: `target` [INFO] [stdout] --> src/dataset/wine_quality.rs:46:8 [INFO] [stdout] | [INFO] [stdout] 46 | fn target(&self) -> f32 { [INFO] [stdout] | ^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `parse_data_file` [INFO] [stdout] --> src/dataset/wine_quality.rs:51:4 [INFO] [stdout] | [INFO] [stdout] 51 | fn parse_data_file(data_file: &str) -> Result<(Vec, Vec), DatasetParseError> { [INFO] [stdout] | ^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `load_dataset` [INFO] [stdout] --> src/dataset/wine_quality.rs:99:4 [INFO] [stdout] | [INFO] [stdout] 99 | fn load_dataset(data_file: &str) -> Result, DatasetParseError> { [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `load_red_dataset` [INFO] [stdout] --> src/dataset/wine_quality.rs:130:15 [INFO] [stdout] | [INFO] [stdout] 130 | pub(crate) fn load_red_dataset() -> Result, DatasetParseError> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `load_white_dataset` [INFO] [stdout] --> src/dataset/wine_quality.rs:134:15 [INFO] [stdout] | [INFO] [stdout] 134 | pub(crate) fn load_white_dataset() -> Result, DatasetParseError> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant is never used: `FEATURE_TGT_RELIGION` [INFO] [stdout] --> src/dataset/flag.rs:12:1 [INFO] [stdout] | [INFO] [stdout] 12 | / pub(crate) const FEATURE_TGT_RELIGION: [&str; 22] = [ [INFO] [stdout] 13 | | "landmass", "language", "bars", "stripes", "colours", "red", [INFO] [stdout] 14 | | "green", "blue", "gold", "white", [INFO] [stdout] 15 | | "black", "orange", "mainhue", "circles", [INFO] [stdout] 16 | | "crosses", "saltires", "sunstars", "crescent", [INFO] [stdout] 17 | | "triangle", "icon", "topleft", "botright" [INFO] [stdout] 18 | | ]; [INFO] [stdout] | |__^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant is never used: `TGT_RELIGION` [INFO] [stdout] --> src/dataset/flag.rs:20:1 [INFO] [stdout] | [INFO] [stdout] 20 | pub(crate) const TGT_RELIGION: [&str; 1] = ["religion"]; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant is never used: `FEATURE_TGT_LANGUAGE` [INFO] [stdout] --> src/dataset/flag.rs:22:1 [INFO] [stdout] | [INFO] [stdout] 22 | / pub(crate) const FEATURE_TGT_LANGUAGE: [&str; 22] = [ [INFO] [stdout] 23 | | "landmass", "religion", "bars", "stripes", "colours", "red", [INFO] [stdout] 24 | | "green", "blue", "gold", "white", [INFO] [stdout] 25 | | "black", "orange", "mainhue", "circles", [INFO] [stdout] 26 | | "crosses", "saltires", "sunstars", "crescent", [INFO] [stdout] 27 | | "triangle", "icon", "topleft", "botright" [INFO] [stdout] 28 | | ]; [INFO] [stdout] | |__^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant is never used: `TGT_LANGUAGE` [INFO] [stdout] --> src/dataset/flag.rs:30:1 [INFO] [stdout] | [INFO] [stdout] 30 | pub(crate) const TGT_LANGUAGE: [&str; 1] = ["language"]; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function is never used: `features_tgt_religion` [INFO] [stdout] --> src/dataset/flag.rs:136:8 [INFO] [stdout] | [INFO] [stdout] 136 | fn features_tgt_religion(&self) -> [f32; 22] { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function is never used: `tgt_religion` [INFO] [stdout] --> src/dataset/flag.rs:171:8 [INFO] [stdout] | [INFO] [stdout] 171 | fn tgt_religion(&self) -> f32 { [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function is never used: `features_tgt_language` [INFO] [stdout] --> src/dataset/flag.rs:176:8 [INFO] [stdout] | [INFO] [stdout] 176 | fn features_tgt_language(&self) -> [f32; 22] { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function is never used: `tgt_language` [INFO] [stdout] --> src/dataset/flag.rs:211:8 [INFO] [stdout] | [INFO] [stdout] 211 | fn tgt_language(&self) -> f32 { [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function is never used: `country` [INFO] [stdout] --> src/dataset/flag.rs:215:12 [INFO] [stdout] | [INFO] [stdout] 215 | pub fn country(&self) -> String { [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `parse_data_file` [INFO] [stdout] --> src/dataset/flag.rs:220:4 [INFO] [stdout] | [INFO] [stdout] 220 | fn parse_data_file(data_file: &str) -> Result, DatasetParseError> { [INFO] [stdout] | ^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `load_dataset_tgt_religion` [INFO] [stdout] --> src/dataset/flag.rs:269:15 [INFO] [stdout] | [INFO] [stdout] 269 | pub(crate) fn load_dataset_tgt_religion(data_file: &str) -> Result<(Vec, Dataset), DatasetParseError> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `load_dataset_tgt_language` [INFO] [stdout] --> src/dataset/flag.rs:302:15 [INFO] [stdout] | [INFO] [stdout] 302 | pub(crate) fn load_dataset_tgt_language(data_file: &str) -> Result<(Vec, Dataset), DatasetParseError> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant is never used: `FLAG_DATASET` [INFO] [stdout] --> src/dataset/mod.rs:19:1 [INFO] [stdout] | [INFO] [stdout] 19 | pub(crate) const FLAG_DATASET: &str = "./datasets/flags/flag.data"; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant is never used: `WINE_DATASET` [INFO] [stdout] --> src/dataset/mod.rs:20:1 [INFO] [stdout] | [INFO] [stdout] 20 | pub(crate) const WINE_DATASET: &str = "./datasets/wine/class/wine.data"; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant is never used: `WINE_RED_QUALITY_DATASET` [INFO] [stdout] --> src/dataset/mod.rs:21:1 [INFO] [stdout] | [INFO] [stdout] 21 | pub(crate) const WINE_RED_QUALITY_DATASET: &str = "./datasets/wine/quality/winequality-red.csv"; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant is never used: `WINE_WHITE_QUALITY_DATASET` [INFO] [stdout] --> src/dataset/mod.rs:22:1 [INFO] [stdout] | [INFO] [stdout] 22 | pub(crate) const WINE_WHITE_QUALITY_DATASET: &str = "./datasets/wine/quality/winequality-white.csv"; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: struct is never constructed: `TrainTestDataset` [INFO] [stdout] --> src/dataset/mod.rs:24:19 [INFO] [stdout] | [INFO] [stdout] 24 | pub(crate) struct TrainTestDataset<'a> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function is never used: `new` [INFO] [stdout] --> src/dataset/mod.rs:33:19 [INFO] [stdout] | [INFO] [stdout] 33 | pub(crate) fn new(ds: &'a Dataset) -> Self { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `knn_classify` [INFO] [stdout] --> src/wine.rs:19:4 [INFO] [stdout] | [INFO] [stdout] 19 | fn knn_classify(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `knn_regression` [INFO] [stdout] --> src/wine.rs:39:4 [INFO] [stdout] | [INFO] [stdout] 39 | fn knn_regression(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `linear_regression` [INFO] [stdout] --> src/wine.rs:58:4 [INFO] [stdout] | [INFO] [stdout] 58 | fn linear_regression(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `logistic_regression` [INFO] [stdout] --> src/wine.rs:86:4 [INFO] [stdout] | [INFO] [stdout] 86 | fn logistic_regression(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `gaussianNB` [INFO] [stdout] --> src/wine.rs:114:4 [INFO] [stdout] | [INFO] [stdout] 114 | fn gaussianNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `categoricalNB` [INFO] [stdout] --> src/wine.rs:142:4 [INFO] [stdout] | [INFO] [stdout] 142 | fn categoricalNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `multinomialNB` [INFO] [stdout] --> src/wine.rs:170:4 [INFO] [stdout] | [INFO] [stdout] 170 | fn multinomialNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `tree_classifier` [INFO] [stdout] --> src/wine.rs:198:4 [INFO] [stdout] | [INFO] [stdout] 198 | fn tree_classifier(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `random_forest_classifier` [INFO] [stdout] --> src/wine.rs:217:4 [INFO] [stdout] | [INFO] [stdout] 217 | fn random_forest_classifier(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `run` [INFO] [stdout] --> src/wine.rs:236:15 [INFO] [stdout] | [INFO] [stdout] 236 | pub(crate) fn run() -> Result, DatasetParseError> { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `knn_classify` [INFO] [stdout] --> src/wine_quality.rs:15:4 [INFO] [stdout] | [INFO] [stdout] 15 | fn knn_classify(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `knn_regression` [INFO] [stdout] --> src/wine_quality.rs:33:4 [INFO] [stdout] | [INFO] [stdout] 33 | fn knn_regression(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `logistic_regression` [INFO] [stdout] --> src/wine_quality.rs:52:4 [INFO] [stdout] | [INFO] [stdout] 52 | fn logistic_regression(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `linear_regression` [INFO] [stdout] --> src/wine_quality.rs:80:4 [INFO] [stdout] | [INFO] [stdout] 80 | fn linear_regression(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `gaussianNB` [INFO] [stdout] --> src/wine_quality.rs:108:4 [INFO] [stdout] | [INFO] [stdout] 108 | fn gaussianNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `categoricalNB` [INFO] [stdout] --> src/wine_quality.rs:136:4 [INFO] [stdout] | [INFO] [stdout] 136 | fn categoricalNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `multinomialNB` [INFO] [stdout] --> src/wine_quality.rs:164:4 [INFO] [stdout] | [INFO] [stdout] 164 | fn multinomialNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `run_red` [INFO] [stdout] --> src/wine_quality.rs:192:15 [INFO] [stdout] | [INFO] [stdout] 192 | pub(crate) fn run_red() -> Result, DatasetParseError> { [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `run_white` [INFO] [stdout] --> src/wine_quality.rs:207:15 [INFO] [stdout] | [INFO] [stdout] 207 | pub(crate) fn run_white() -> Result, DatasetParseError> { [INFO] [stdout] | ^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: field is never read: `mae` [INFO] [stdout] --> src/results.rs:8:5 [INFO] [stdout] | [INFO] [stdout] 8 | mae: f32, [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: field is never read: `mse` [INFO] [stdout] --> src/results.rs:9:5 [INFO] [stdout] | [INFO] [stdout] 9 | mse: f32, [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function is never used: `name` [INFO] [stdout] --> src/results.rs:22:19 [INFO] [stdout] | [INFO] [stdout] 22 | pub(crate) fn name(&self) -> String { [INFO] [stdout] | ^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function is never used: `set_name` [INFO] [stdout] --> src/results.rs:26:19 [INFO] [stdout] | [INFO] [stdout] 26 | pub(crate) fn set_name(&mut self, name: String) { [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function is never used: `acc` [INFO] [stdout] --> src/results.rs:30:19 [INFO] [stdout] | [INFO] [stdout] 30 | pub(crate) fn acc(&self) -> f32 { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function is never used: `mae` [INFO] [stdout] --> src/results.rs:34:19 [INFO] [stdout] | [INFO] [stdout] 34 | pub(crate) fn mae(&self) -> f32 { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function is never used: `mse` [INFO] [stdout] --> src/results.rs:38:19 [INFO] [stdout] | [INFO] [stdout] 38 | pub(crate) fn mse(&self) -> f32 { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `show` [INFO] [stdout] --> src/results.rs:57:15 [INFO] [stdout] | [INFO] [stdout] 57 | pub(crate) fn show(results: Vec) { [INFO] [stdout] | ^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `random_forest_params_as_str` [INFO] [stdout] --> src/flags/random_forest.rs:16:4 [INFO] [stdout] | [INFO] [stdout] 16 | fn random_forest_params_as_str(params: &RandomForestClassifierParameters) -> String { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `train_and_test` [INFO] [stdout] --> src/flags/random_forest.rs:30:4 [INFO] [stdout] | [INFO] [stdout] 30 | fn train_and_test(ds: &Dataset, params: RandomForestClassifierParameters) [INFO] [stdout] | ^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `tweak_no_trees` [INFO] [stdout] --> src/flags/random_forest.rs:59:4 [INFO] [stdout] | [INFO] [stdout] 59 | fn tweak_no_trees(ds: &Dataset, criterion: &SplitCriterion) [INFO] [stdout] | ^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `run` [INFO] [stdout] --> src/flags/random_forest.rs:98:15 [INFO] [stdout] | [INFO] [stdout] 98 | pub(crate) fn run(ds: &Dataset) -> Result, DatasetParseError> { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: struct is never constructed: `KNNClassifierRun` [INFO] [stdout] --> src/flags/knn_classifier.rs:24:19 [INFO] [stdout] | [INFO] [stdout] 24 | pub(crate) struct KNNClassifierRun<'a> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function is never used: `new` [INFO] [stdout] --> src/flags/knn_classifier.rs:34:8 [INFO] [stdout] | [INFO] [stdout] 34 | fn new(ds: &'a Dataset) -> Self { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function is never used: `add_result` [INFO] [stdout] --> src/flags/knn_classifier.rs:58:8 [INFO] [stdout] | [INFO] [stdout] 58 | fn add_result(&mut self, res: MLResult) { [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function is never used: `predict` [INFO] [stdout] --> src/flags/knn_classifier.rs:62:8 [INFO] [stdout] | [INFO] [stdout] 62 | fn predict(&mut self, [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function is never used: `train_and_test` [INFO] [stdout] --> src/flags/knn_classifier.rs:124:8 [INFO] [stdout] | [INFO] [stdout] 124 | fn train_and_test(&mut self, distance: KNNDistance, algorithm: &KNNAlgorithmName) [INFO] [stdout] | ^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function is never used: `run_distance` [INFO] [stdout] --> src/flags/knn_classifier.rs:150:8 [INFO] [stdout] | [INFO] [stdout] 150 | fn run_distance(&mut self, algorithm: KNNAlgorithmName) -> Result<(), DatasetParseError> { [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function is never used: `run_algorithm` [INFO] [stdout] --> src/flags/knn_classifier.rs:169:8 [INFO] [stdout] | [INFO] [stdout] 169 | fn run_algorithm(&mut self, weight: KNNWeightFunction) -> Result<(), DatasetParseError> { [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function is never used: `run_weight` [INFO] [stdout] --> src/flags/knn_classifier.rs:178:8 [INFO] [stdout] | [INFO] [stdout] 178 | fn run_weight(&mut self) -> Result<(), DatasetParseError> { [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `run` [INFO] [stdout] --> src/flags/knn_classifier.rs:188:15 [INFO] [stdout] | [INFO] [stdout] 188 | pub(crate) fn run(ds: &Dataset) -> Result, DatasetParseError> { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `params_as_str` [INFO] [stdout] --> src/flags/decision_tree_classifier.rs:16:4 [INFO] [stdout] | [INFO] [stdout] 16 | fn params_as_str(params: &DecisionTreeClassifierParameters) -> String { [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `train_and_test` [INFO] [stdout] --> src/flags/decision_tree_classifier.rs:30:4 [INFO] [stdout] | [INFO] [stdout] 30 | fn train_and_test(ds: &Dataset, criterion: &SplitCriterion) [INFO] [stdout] | ^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `run` [INFO] [stdout] --> src/flags/decision_tree_classifier.rs:63:15 [INFO] [stdout] | [INFO] [stdout] 63 | pub(crate) fn run(ds: &Dataset) -> Result, DatasetParseError> { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant is never used: `MAX_ITERATIONS` [INFO] [stdout] --> src/flags/kmeans.rs:13:1 [INFO] [stdout] | [INFO] [stdout] 13 | const MAX_ITERATIONS: [usize;6] = [50, 75, 100, 125, 150, 175]; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `run` [INFO] [stdout] --> src/flags/kmeans.rs:15:15 [INFO] [stdout] | [INFO] [stdout] 15 | pub(crate) fn run(ds: &Dataset) { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function is never used: `new` [INFO] [stdout] --> src/flags/dbscan.rs:24:8 [INFO] [stdout] | [INFO] [stdout] 24 | fn new(eps: f32, distance: &'a KNNDistance, algorithm: &'a KNNAlgorithmName) -> Self { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function is never used: `inc_eps` [INFO] [stdout] --> src/flags/dbscan.rs:32:8 [INFO] [stdout] | [INFO] [stdout] 32 | fn inc_eps(&mut self, inc: f32) { [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: struct is never constructed: `DBScanRun` [INFO] [stdout] --> src/flags/dbscan.rs:57:8 [INFO] [stdout] | [INFO] [stdout] 57 | struct DBScanRun<'a> { [INFO] [stdout] | ^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function is never used: `new` [INFO] [stdout] --> src/flags/dbscan.rs:63:8 [INFO] [stdout] | [INFO] [stdout] 63 | fn new(ds: &'a Dataset) -> Self { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function is never used: `add_result` [INFO] [stdout] --> src/flags/dbscan.rs:71:8 [INFO] [stdout] | [INFO] [stdout] 71 | fn add_result(&mut self, res: MLResult) { [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function is never used: `run` [INFO] [stdout] --> src/flags/dbscan.rs:144:8 [INFO] [stdout] | [INFO] [stdout] 144 | fn run(&mut self) -> Result<(), DatasetParseError> { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `run` [INFO] [stdout] --> src/flags/dbscan.rs:166:15 [INFO] [stdout] | [INFO] [stdout] 166 | pub(crate) fn run(ds: &Dataset) -> Result, DatasetParseError> { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `validate_predict` [INFO] [stdout] --> src/flags/mod.rs:28:4 [INFO] [stdout] | [INFO] [stdout] 28 | fn validate_predict(ds: &Dataset, p: &Vec, flag_recs: &Vec) { [INFO] [stdout] | ^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `knn_regression` [INFO] [stdout] --> src/flags/mod.rs:45:4 [INFO] [stdout] | [INFO] [stdout] 45 | fn knn_regression(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `logistic_regression` [INFO] [stdout] --> src/flags/mod.rs:64:4 [INFO] [stdout] | [INFO] [stdout] 64 | fn logistic_regression(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `gaussianNB` [INFO] [stdout] --> src/flags/mod.rs:92:4 [INFO] [stdout] | [INFO] [stdout] 92 | fn gaussianNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `categoricalNB` [INFO] [stdout] --> src/flags/mod.rs:120:4 [INFO] [stdout] | [INFO] [stdout] 120 | fn categoricalNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `multinomialNB` [INFO] [stdout] --> src/flags/mod.rs:148:4 [INFO] [stdout] | [INFO] [stdout] 148 | fn multinomialNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `run_predict_religion` [INFO] [stdout] --> src/flags/mod.rs:176:15 [INFO] [stdout] | [INFO] [stdout] 176 | pub(crate) fn run_predict_religion() -> Result, DatasetParseError> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `run_predict_language` [INFO] [stdout] --> src/flags/mod.rs:196:15 [INFO] [stdout] | [INFO] [stdout] 196 | pub(crate) fn run_predict_language() -> Result, DatasetParseError> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `run` [INFO] [stdout] --> src/digits.rs:14:15 [INFO] [stdout] | [INFO] [stdout] 14 | pub(crate) fn run() { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `knn_classify` [INFO] [stdout] --> src/iris/mod.rs:18:4 [INFO] [stdout] | [INFO] [stdout] 18 | fn knn_classify(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `knn_regression` [INFO] [stdout] --> src/iris/mod.rs:36:4 [INFO] [stdout] | [INFO] [stdout] 36 | fn knn_regression(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `linear_regression` [INFO] [stdout] --> src/iris/mod.rs:53:4 [INFO] [stdout] | [INFO] [stdout] 53 | fn linear_regression(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `logistic_regression` [INFO] [stdout] --> src/iris/mod.rs:72:4 [INFO] [stdout] | [INFO] [stdout] 72 | fn logistic_regression(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `gaussianNB` [INFO] [stdout] --> src/iris/mod.rs:92:4 [INFO] [stdout] | [INFO] [stdout] 92 | fn gaussianNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `categoricalNB` [INFO] [stdout] --> src/iris/mod.rs:112:4 [INFO] [stdout] | [INFO] [stdout] 112 | fn categoricalNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `multinomialNB` [INFO] [stdout] --> src/iris/mod.rs:132:4 [INFO] [stdout] | [INFO] [stdout] 132 | fn multinomialNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `tree_classifier` [INFO] [stdout] --> src/iris/mod.rs:152:4 [INFO] [stdout] | [INFO] [stdout] 152 | fn tree_classifier(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `random_forest_classifier` [INFO] [stdout] --> src/iris/mod.rs:171:4 [INFO] [stdout] | [INFO] [stdout] 171 | fn random_forest_classifier(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variant is never constructed: `Euclidean` [INFO] [stdout] --> src/main.rs:26:5 [INFO] [stdout] | [INFO] [stdout] 26 | Euclidean, [INFO] [stdout] | ^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variant is never constructed: `Hamming` [INFO] [stdout] --> src/main.rs:27:5 [INFO] [stdout] | [INFO] [stdout] 27 | Hamming, [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variant is never constructed: `Manhattan` [INFO] [stdout] --> src/main.rs:28:5 [INFO] [stdout] | [INFO] [stdout] 28 | Manhattan, [INFO] [stdout] | ^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant is never used: `TRAINING_TEST_SIZE_RATIO` [INFO] [stdout] --> src/main.rs:32:1 [INFO] [stdout] | [INFO] [stdout] 32 | pub(crate) const TRAINING_TEST_SIZE_RATIO: f32 = 0.7; // train=30%; test=70% [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant is never used: `MAX_NO_CHANGES` [INFO] [stdout] --> src/main.rs:33:1 [INFO] [stdout] | [INFO] [stdout] 33 | pub(crate) const MAX_NO_CHANGES: usize = 10; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `algo_params_as_str` [INFO] [stdout] --> src/main.rs:35:4 [INFO] [stdout] | [INFO] [stdout] 35 | fn algo_params_as_str(distance: &KNNDistance, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `gaussianNB` should have a snake case name [INFO] [stdout] --> src/boston.rs:110:4 [INFO] [stdout] | [INFO] [stdout] 110 | fn gaussianNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^ help: convert the identifier to snake case: `gaussian_nb` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(non_snake_case)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `categoricalNB` should have a snake case name [INFO] [stdout] --> src/boston.rs:138:4 [INFO] [stdout] | [INFO] [stdout] 138 | fn categoricalNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^ help: convert the identifier to snake case: `categorical_nb` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `multinomialNB` should have a snake case name [INFO] [stdout] --> src/boston.rs:166:4 [INFO] [stdout] | [INFO] [stdout] 166 | fn multinomialNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^ help: convert the identifier to snake case: `multinomial_nb` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: structure field `pH` should have a snake case name [INFO] [stdout] --> src/dataset/wine_quality.rs:21:5 [INFO] [stdout] | [INFO] [stdout] 21 | pH: f32, [INFO] [stdout] | ^^ help: convert the identifier to snake case: `p_h` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `pH` should have a snake case name [INFO] [stdout] --> src/dataset/wine_quality.rs:71:21 [INFO] [stdout] | [INFO] [stdout] 71 | let pH = attrs[8].parse::()?; [INFO] [stdout] | ^^ help: convert the identifier to snake case: `p_h` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `gaussianNB` should have a snake case name [INFO] [stdout] --> src/wine.rs:114:4 [INFO] [stdout] | [INFO] [stdout] 114 | fn gaussianNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^ help: convert the identifier to snake case: `gaussian_nb` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `categoricalNB` should have a snake case name [INFO] [stdout] --> src/wine.rs:142:4 [INFO] [stdout] | [INFO] [stdout] 142 | fn categoricalNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^ help: convert the identifier to snake case: `categorical_nb` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `multinomialNB` should have a snake case name [INFO] [stdout] --> src/wine.rs:170:4 [INFO] [stdout] | [INFO] [stdout] 170 | fn multinomialNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^ help: convert the identifier to snake case: `multinomial_nb` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `gaussianNB` should have a snake case name [INFO] [stdout] --> src/wine_quality.rs:108:4 [INFO] [stdout] | [INFO] [stdout] 108 | fn gaussianNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^ help: convert the identifier to snake case: `gaussian_nb` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `categoricalNB` should have a snake case name [INFO] [stdout] --> src/wine_quality.rs:136:4 [INFO] [stdout] | [INFO] [stdout] 136 | fn categoricalNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^ help: convert the identifier to snake case: `categorical_nb` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `multinomialNB` should have a snake case name [INFO] [stdout] --> src/wine_quality.rs:164:4 [INFO] [stdout] | [INFO] [stdout] 164 | fn multinomialNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^ help: convert the identifier to snake case: `multinomial_nb` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `gaussianNB` should have a snake case name [INFO] [stdout] --> src/flags/mod.rs:92:4 [INFO] [stdout] | [INFO] [stdout] 92 | fn gaussianNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^ help: convert the identifier to snake case: `gaussian_nb` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `categoricalNB` should have a snake case name [INFO] [stdout] --> src/flags/mod.rs:120:4 [INFO] [stdout] | [INFO] [stdout] 120 | fn categoricalNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^ help: convert the identifier to snake case: `categorical_nb` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `multinomialNB` should have a snake case name [INFO] [stdout] --> src/flags/mod.rs:148:4 [INFO] [stdout] | [INFO] [stdout] 148 | fn multinomialNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^ help: convert the identifier to snake case: `multinomial_nb` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `gaussianNB` should have a snake case name [INFO] [stdout] --> src/iris/mod.rs:92:4 [INFO] [stdout] | [INFO] [stdout] 92 | fn gaussianNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^ help: convert the identifier to snake case: `gaussian_nb` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `categoricalNB` should have a snake case name [INFO] [stdout] --> src/iris/mod.rs:112:4 [INFO] [stdout] | [INFO] [stdout] 112 | fn categoricalNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^ help: convert the identifier to snake case: `categorical_nb` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `multinomialNB` should have a snake case name [INFO] [stdout] --> src/iris/mod.rs:132:4 [INFO] [stdout] | [INFO] [stdout] 132 | fn multinomialNB(ds: &Dataset) -> Result { [INFO] [stdout] | ^^^^^^^^^^^^^ help: convert the identifier to snake case: `multinomial_nb` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: 173 warnings emitted [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0609]: no field `data` on type `(Vec, Dataset)` [INFO] [stdout] --> src/dataset/flag.rs:347:23 [INFO] [stdout] | [INFO] [stdout] 347 | assert_eq!(ds.data.len(), FLAG_DATASET_SAMPLES_SIZE * FLAG_DATASET_NO_FEATURES); [INFO] [stdout] | ^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0609]: no field `target` on type `(Vec, Dataset)` [INFO] [stdout] --> src/dataset/flag.rs:348:23 [INFO] [stdout] | [INFO] [stdout] 348 | assert_eq!(ds.target.len(), FLAG_DATASET_SAMPLES_SIZE); [INFO] [stdout] | ^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0609]: no field `data` on type `(Vec, Dataset)` [INFO] [stdout] --> src/dataset/flag.rs:351:23 [INFO] [stdout] | [INFO] [stdout] 351 | assert_eq!(ds.data[0], 0.0); [INFO] [stdout] | ^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0609]: no field `data` on type `(Vec, Dataset)` [INFO] [stdout] --> src/dataset/flag.rs:353:23 [INFO] [stdout] | [INFO] [stdout] 353 | assert_eq!(ds.data[(FLAG_DATASET_SAMPLES_SIZE - 1) * FLAG_DATASET_NO_FEATURES], 0.0); [INFO] [stdout] | ^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error: aborting due to 4 previous errors; 32 warnings emitted [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] For more information about this error, try `rustc --explain E0609`. [INFO] [stdout] [INFO] [stderr] error: could not compile `ml-smart` due to 5 previous errors; 32 warnings emitted [INFO] running `Command { std: "docker" "inspect" "0ddd7084310743ffafda9cd709096573fb013044168aea1293dfd28db375ec9a", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "0ddd7084310743ffafda9cd709096573fb013044168aea1293dfd28db375ec9a", kill_on_drop: false }` [INFO] [stdout] 0ddd7084310743ffafda9cd709096573fb013044168aea1293dfd28db375ec9a