Build #2783005 2026-01-01 23:19:03
# rustc version
rustc 1.94.0-nightly (8d670b93d 2025-12-31)# docs.rs version
docsrs 0.1.0 (e6d7c66e 2025-12-21 )# build log
[INFO] running `Command { std: "docker" "create" "-v" "/home/cratesfyi/workspace/builds/sklears-python-0.1.0-beta.1/target:/opt/rustwide/target:rw,Z" "-v" "/home/cratesfyi/workspace/builds/sklears-python-0.1.0-beta.1/source:/opt/rustwide/workdir:ro,Z" "-v" "/home/cratesfyi/workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/home/cratesfyi/workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "DOCS_RS=1" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "6442450944" "--cpus" "6" "--user" "1001:1001" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:845e597a41426bbf2703be69acdb67d10b6de511142d05cba7bbe119c898b2c7" "/opt/rustwide/cargo-home/bin/cargo" "+nightly" "rustdoc" "--lib" "-Zrustdoc-map" "--config" "build.rustdocflags=[\"--cfg\", \"docsrs\", \"-Z\", \"unstable-options\", \"--emit=invocation-specific\", \"--resource-suffix\", \"-20251231-1.94.0-nightly-8d670b93d\", \"--static-root-path\", \"/-/rustdoc.static/\", \"--cap-lints\", \"warn\", \"--extern-html-root-takes-precedence\"]" "--offline" "-Zunstable-options" "--config=doc.extern-map.registries.crates-io=\"https://docs.rs/{pkg_name}/{version}/x86_64-unknown-linux-gnu\"" "-Zrustdoc-scrape-examples" "-j6" "--target" "x86_64-unknown-linux-gnu", 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] b58910193b42db2d5469e5defb77dea4e37f02e432d37ca320241e7bc232ae8d
[INFO] running `Command { std: "docker" "start" "-a" "b58910193b42db2d5469e5defb77dea4e37f02e432d37ca320241e7bc232ae8d", kill_on_drop: false }`
[INFO] [stderr] warning: target filter specified, but no targets matched; this is a no-op
[INFO] [stderr] Documenting sklears-python v0.1.0-beta.1 (/opt/rustwide/workdir)
[INFO] [stderr] warning: unresolved link to `1`
[INFO] [stderr] --> src/linear/ard_regression.rs:59:1
[INFO] [stderr] |
[INFO] [stderr] 59 | / /// Bayesian ARD regression.
[INFO] [stderr] 60 | | ///
[INFO] [stderr] 61 | | /// Fit the weights of a regression model, using an ARD prior. The weights of
[INFO] [stderr] 62 | | /// the regression model are assumed to be drawn from an isotropic Gaussian
[INFO] [stderr] ... |
[INFO] [stderr] 153 | | /// ARD is a little different: only ``lambda_`` is inferred; ``alpha_``
[INFO] [stderr] 154 | | /// is fixed by the user.
[INFO] [stderr] | |_________________________^
[INFO] [stderr] |
[INFO] [stderr] = note: the link appears in this line:
[INFO] [stderr]
[INFO] [stderr] >>> X = np.array([[1], [2], [3], [4], [5]])
[INFO] [stderr] ^
[INFO] [stderr] = note: no item named `1` in scope
[INFO] [stderr] = help: to escape `[` and `]` characters, add '\' before them like `\[` or `\]`
[INFO] [stderr] = note: `#[warn(rustdoc::broken_intra_doc_links)]` on by default
[INFO] [stderr]
[INFO] [stderr] warning: unresolved link to `2`
[INFO] [stderr] --> src/linear/ard_regression.rs:59:1
[INFO] [stderr] |
[INFO] [stderr] 59 | / /// Bayesian ARD regression.
[INFO] [stderr] 60 | | ///
[INFO] [stderr] 61 | | /// Fit the weights of a regression model, using an ARD prior. The weights of
[INFO] [stderr] 62 | | /// the regression model are assumed to be drawn from an isotropic Gaussian
[INFO] [stderr] ... |
[INFO] [stderr] 153 | | /// ARD is a little different: only ``lambda_`` is inferred; ``alpha_``
[INFO] [stderr] 154 | | /// is fixed by the user.
[INFO] [stderr] | |_________________________^
[INFO] [stderr] |
[INFO] [stderr] = note: the link appears in this line:
[INFO] [stderr]
[INFO] [stderr] >>> X = np.array([[1], [2], [3], [4], [5]])
[INFO] [stderr] ^
[INFO] [stderr] = note: no item named `2` in scope
[INFO] [stderr] = help: to escape `[` and `]` characters, add '\' before them like `\[` or `\]`
[INFO] [stderr]
[INFO] [stderr] warning: unresolved link to `3`
[INFO] [stderr] --> src/linear/ard_regression.rs:59:1
[INFO] [stderr] |
[INFO] [stderr] 59 | / /// Bayesian ARD regression.
[INFO] [stderr] 60 | | ///
[INFO] [stderr] 61 | | /// Fit the weights of a regression model, using an ARD prior. The weights of
[INFO] [stderr] 62 | | /// the regression model are assumed to be drawn from an isotropic Gaussian
[INFO] [stderr] ... |
[INFO] [stderr] 153 | | /// ARD is a little different: only ``lambda_`` is inferred; ``alpha_``
[INFO] [stderr] 154 | | /// is fixed by the user.
[INFO] [stderr] | |_________________________^
[INFO] [stderr] |
[INFO] [stderr] = note: the link appears in this line:
[INFO] [stderr]
[INFO] [stderr] >>> X = np.array([[1], [2], [3], [4], [5]])
[INFO] [stderr] ^
[INFO] [stderr] = note: no item named `3` in scope
[INFO] [stderr] = help: to escape `[` and `]` characters, add '\' before them like `\[` or `\]`
[INFO] [stderr]
[INFO] [stderr] warning: unresolved link to `4`
[INFO] [stderr] --> src/linear/ard_regression.rs:59:1
[INFO] [stderr] |
[INFO] [stderr] 59 | / /// Bayesian ARD regression.
[INFO] [stderr] 60 | | ///
[INFO] [stderr] 61 | | /// Fit the weights of a regression model, using an ARD prior. The weights of
[INFO] [stderr] 62 | | /// the regression model are assumed to be drawn from an isotropic Gaussian
[INFO] [stderr] ... |
[INFO] [stderr] 153 | | /// ARD is a little different: only ``lambda_`` is inferred; ``alpha_``
[INFO] [stderr] 154 | | /// is fixed by the user.
[INFO] [stderr] | |_________________________^
[INFO] [stderr] |
[INFO] [stderr] = note: the link appears in this line:
[INFO] [stderr]
[INFO] [stderr] >>> X = np.array([[1], [2], [3], [4], [5]])
[INFO] [stderr] ^
[INFO] [stderr] = note: no item named `4` in scope
[INFO] [stderr] = help: to escape `[` and `]` characters, add '\' before them like `\[` or `\]`
[INFO] [stderr]
[INFO] [stderr] warning: unresolved link to `5`
[INFO] [stderr] --> src/linear/ard_regression.rs:59:1
[INFO] [stderr] |
[INFO] [stderr] 59 | / /// Bayesian ARD regression.
[INFO] [stderr] 60 | | ///
[INFO] [stderr] 61 | | /// Fit the weights of a regression model, using an ARD prior. The weights of
[INFO] [stderr] 62 | | /// the regression model are assumed to be drawn from an isotropic Gaussian
[INFO] [stderr] ... |
[INFO] [stderr] 153 | | /// ARD is a little different: only ``lambda_`` is inferred; ``alpha_``
[INFO] [stderr] 154 | | /// is fixed by the user.
[INFO] [stderr] | |_________________________^
[INFO] [stderr] |
[INFO] [stderr] = note: the link appears in this line:
[INFO] [stderr]
[INFO] [stderr] >>> X = np.array([[1], [2], [3], [4], [5]])
[INFO] [stderr] ^
[INFO] [stderr] = note: no item named `5` in scope
[INFO] [stderr] = help: to escape `[` and `]` characters, add '\' before them like `\[` or `\]`
[INFO] [stderr]
[INFO] [stderr] warning: unresolved link to `3`
[INFO] [stderr] --> src/linear/ard_regression.rs:59:1
[INFO] [stderr] |
[INFO] [stderr] 59 | / /// Bayesian ARD regression.
[INFO] [stderr] 60 | | ///
[INFO] [stderr] 61 | | /// Fit the weights of a regression model, using an ARD prior. The weights of
[INFO] [stderr] 62 | | /// the regression model are assumed to be drawn from an isotropic Gaussian
[INFO] [stderr] ... |
[INFO] [stderr] 153 | | /// ARD is a little different: only ``lambda_`` is inferred; ``alpha_``
[INFO] [stderr] 154 | | /// is fixed by the user.
[INFO] [stderr] | |_________________________^
[INFO] [stderr] |
[INFO] [stderr] = note: the link appears in this line:
[INFO] [stderr]
[INFO] [stderr] >>> reg.predict([[3]])
[INFO] [stderr] ^
[INFO] [stderr] = note: no item named `3` in scope
[INFO] [stderr] = help: to escape `[` and `]` characters, add '\' before them like `\[` or `\]`
[INFO] [stderr]
[INFO] [stderr] warning: this URL is not a hyperlink
[INFO] [stderr] --> src/linear/ard_regression.rs:151:5
[INFO] [stderr] |
[INFO] [stderr] 151 | /// http://www.cs.toronto.edu/~rsalakhu/sta4273/notes/Lecture2.pdf
[INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] |
[INFO] [stderr] = note: bare URLs are not automatically turned into clickable links
[INFO] [stderr] = note: `#[warn(rustdoc::bare_urls)]` on by default
[INFO] [stderr] help: use an automatic link instead
[INFO] [stderr] |
[INFO] [stderr] 151 | /// <http://www.cs.toronto.edu/>~rsalakhu/sta4273/notes/Lecture2.pdf
[INFO] [stderr] | + +
[INFO] [stderr]
[INFO] [stderr] warning: this URL is not a hyperlink
[INFO] [stderr] --> src/linear/logistic_regression.rs:212:5
[INFO] [stderr] |
[INFO] [stderr] 212 | /// http://users.iems.northwestern.edu/~nocedal/lbfgsb.html
[INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] |
[INFO] [stderr] = note: bare URLs are not automatically turned into clickable links
[INFO] [stderr] help: use an automatic link instead
[INFO] [stderr] |
[INFO] [stderr] 212 | /// <http://users.iems.northwestern.edu/>~nocedal/lbfgsb.html
[INFO] [stderr] | + +
[INFO] [stderr]
[INFO] [stderr] warning: this URL is not a hyperlink
[INFO] [stderr] --> src/linear/logistic_regression.rs:216:5
[INFO] [stderr] |
[INFO] [stderr] 216 | /// https://hal.inria.fr/hal-00860051/document
[INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] |
[INFO] [stderr] = note: bare URLs are not automatically turned into clickable links
[INFO] [stderr] help: use an automatic link instead
[INFO] [stderr] |
[INFO] [stderr] 216 | /// <https://hal.inria.fr/hal-00860051/document>
[INFO] [stderr] | + +
[INFO] [stderr]
[INFO] [stderr] warning: this URL is not a hyperlink
[INFO] [stderr] --> src/linear/logistic_regression.rs:221:5
[INFO] [stderr] |
[INFO] [stderr] 221 | /// https://arxiv.org/abs/1407.0202
[INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] |
[INFO] [stderr] = note: bare URLs are not automatically turned into clickable links
[INFO] [stderr] help: use an automatic link instead
[INFO] [stderr] |
[INFO] [stderr] 221 | /// <https://arxiv.org/abs/1407.0202>
[INFO] [stderr] | + +
[INFO] [stderr]
[INFO] [stderr] warning: could not parse code block as Rust code
[INFO] [stderr] --> src/linear/logistic_regression.rs:82:1
[INFO] [stderr] |
[INFO] [stderr] 82 | / /// Logistic Regression (aka logit, MaxEnt) classifier.
[INFO] [stderr] 83 | | ///
[INFO] [stderr] 84 | | /// In the multiclass case, the training algorithm uses the one-vs-rest (OvR)
[INFO] [stderr] 85 | | /// scheme if the 'multi_class' option is set to 'ovr', and uses the
[INFO] [stderr] ... |
[INFO] [stderr] 220 | | /// for Non-Strongly Convex Composite Objectives
[INFO] [stderr] 221 | | /// https://arxiv.org/abs/1407.0202
[INFO] [stderr] | |___________________________________^
[INFO] [stderr] |
[INFO] [stderr] = note: error from rustc: character literal may only contain one codepoint
[INFO] [stderr] = note: error from rustc: character literal may only contain one codepoint
[INFO] [stderr] = note: error from rustc: character literal may only contain one codepoint
[INFO] [stderr] = note: `#[warn(rustdoc::invalid_rust_codeblocks)]` on by default
[INFO] [stderr]
[INFO] [stderr] warning: could not parse code block as Rust code
[INFO] [stderr] --> src/linear/logistic_regression.rs:82:1
[INFO] [stderr] |
[INFO] [stderr] 82 | / /// Logistic Regression (aka logit, MaxEnt) classifier.
[INFO] [stderr] 83 | | ///
[INFO] [stderr] 84 | | /// In the multiclass case, the training algorithm uses the one-vs-rest (OvR)
[INFO] [stderr] 85 | | /// scheme if the 'multi_class' option is set to 'ovr', and uses the
[INFO] [stderr] ... |
[INFO] [stderr] 220 | | /// for Non-Strongly Convex Composite Objectives
[INFO] [stderr] 221 | | /// https://arxiv.org/abs/1407.0202
[INFO] [stderr] | |___________________________________^
[INFO] [stderr] |
[INFO] [stderr] = note: error from rustc: unknown start of token: `
[INFO] [stderr] = note: error from rustc: unknown start of token: `
[INFO] [stderr]
[INFO] [stderr] warning: could not parse code block as Rust code
[INFO] [stderr] --> src/linear/logistic_regression.rs:82:1
[INFO] [stderr] |
[INFO] [stderr] 82 | / /// Logistic Regression (aka logit, MaxEnt) classifier.
[INFO] [stderr] 83 | | ///
[INFO] [stderr] 84 | | /// In the multiclass case, the training algorithm uses the one-vs-rest (OvR)
[INFO] [stderr] 85 | | /// scheme if the 'multi_class' option is set to 'ovr', and uses the
[INFO] [stderr] ... |
[INFO] [stderr] 220 | | /// for Non-Strongly Convex Composite Objectives
[INFO] [stderr] 221 | | /// https://arxiv.org/abs/1407.0202
[INFO] [stderr] | |___________________________________^
[INFO] [stderr] |
[INFO] [stderr] = note: error from rustc: character literal may only contain one codepoint
[INFO] [stderr] = note: error from rustc: character literal may only contain one codepoint
[INFO] [stderr] = note: error from rustc: character literal may only contain one codepoint
[INFO] [stderr] = note: error from rustc: character literal may only contain one codepoint
[INFO] [stderr] = note: error from rustc: prefix `cg` is unknown
[INFO] [stderr] = note: error from rustc: character literal may only contain one codepoint
[INFO] [stderr] = note: error from rustc: character literal may only contain one codepoint
[INFO] [stderr] = note: error from rustc: unterminated character literal
[INFO] [stderr]
[INFO] [stderr] warning: could not parse code block as Rust code
[INFO] [stderr] --> src/linear/logistic_regression.rs:179:9
[INFO] [stderr] |
[INFO] [stderr] 179 | /// `coef_` is of shape (1, n_features) when the given problem is binary.
[INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] |
[INFO] [stderr] = note: error from rustc: unknown start of token: `
[INFO] [stderr] = note: error from rustc: unknown start of token: `
[INFO] [stderr]
[INFO] [stderr] warning: could not parse code block as Rust code
[INFO] [stderr] --> src/linear/logistic_regression.rs:82:1
[INFO] [stderr] |
[INFO] [stderr] 82 | / /// Logistic Regression (aka logit, MaxEnt) classifier.
[INFO] [stderr] 83 | | ///
[INFO] [stderr] 84 | | /// In the multiclass case, the training algorithm uses the one-vs-rest (OvR)
[INFO] [stderr] 85 | | /// scheme if the 'multi_class' option is set to 'ovr', and uses the
[INFO] [stderr] ... |
[INFO] [stderr] 220 | | /// for Non-Strongly Convex Composite Objectives
[INFO] [stderr] 221 | | /// https://arxiv.org/abs/1407.0202
[INFO] [stderr] | |___________________________________^
[INFO] [stderr] |
[INFO] [stderr] = note: error from rustc: unknown start of token: `
[INFO] [stderr] = note: error from rustc: unknown start of token: `
[INFO] [stderr] = note: error from rustc: unknown start of token: `
[INFO] [stderr] = note: error from rustc: unknown start of token: `
[INFO] [stderr]
[INFO] [stderr] warning: `sklears-python` (lib doc) generated 15 warnings (run `cargo fix --lib -p sklears-python` to apply 4 suggestions)
[INFO] [stderr] Finished `dev` profile [unoptimized + debuginfo] target(s) in 1.76s
[INFO] [stderr] Generated /opt/rustwide/target/x86_64-unknown-linux-gnu/doc/sklears_python/index.html
[INFO] running `Command { std: "docker" "inspect" "b58910193b42db2d5469e5defb77dea4e37f02e432d37ca320241e7bc232ae8d", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "b58910193b42db2d5469e5defb77dea4e37f02e432d37ca320241e7bc232ae8d", kill_on_drop: false }`
[INFO] [stdout] b58910193b42db2d5469e5defb77dea4e37f02e432d37ca320241e7bc232ae8d