Bump smartcore from 0.5.0 to 0.5.3

[dependabot]

Bumps smartcore from 0.5.0 to 0.5.3.

Release notes

Sourced from smartcore's releases.

v0.5.3

What's Changed

• Update ndarray requirement from 0.15 to 0.17 by @​dependabot[bot] in smartcorelib/smartcore#353
• Cleanup by @​Mec-iS in smartcorelib/smartcore#380
• Fix multiclass macro F1 to average per-class F-scores by @​gaoflow in smartcorelib/smartcore#382
• fix(f1): review follow-ups from #382 by @​Mec-iS in smartcorelib/smartcore#383
• refactor(metrics): share per-class confusion counts across Precision/Recall/F1 by @​Mec-iS in smartcorelib/smartcore#384

New Contributors

• @​gaoflow made their first contribution in smartcorelib/smartcore#382

Full Changelog: smartcorelib/smartcore@v0.5.1...v0.5.3

v0.5.1

What's Changed

• Update itertools requirement from 0.13.0 to 0.15.0 by @​dependabot[bot] in smartcorelib/smartcore#372
• Fix ROC AUC computation for tied prediction scores by @​teddytennant in smartcorelib/smartcore#374
• fix(auc+encoder): review follow-ups from #374, clippy fix, coverage tests, v0.6.0 by @​Mec-iS in smartcorelib/smartcore#375

New Contributors

• @​teddytennant made their first contribution in smartcorelib/smartcore#374

Full Changelog: smartcorelib/smartcore@v0.5.0...v0.5.1

Changelog

Sourced from smartcore's changelog.

[0.5.3]

Changed

• Classification metrics refactored: Precision, Recall, and F1 now derive per-class scores from a single shared ConfusionCounts helper (src/metrics/confusion.rs) instead of each re-implementing the per-class tp/predicted/support bookkeeping. Precision and Recall expose a crate-private per_class_scores_from_counts used by F1's multiclass path.
• Precision and Recall now early-return 0.0 on empty input and drop the unreachable classes == 0 / support.is_empty() branches.
• Multiclass macro F1 (landed in #382, cleaned up in #383) is unchanged behaviourally; it now consumes Precision/Recall::per_class_scores_from_counts instead of its own HashMap bookkeeping.

[0.4.8] - 2025-11-29

• WARNING: Breaking changes!
• LassoParameters and LassoSearchParameters have a new field fit_intercept. When it is set to false, the beta_0 term in the formula will be forced to zero, and intercept field in Lasso will be set to None.

[0.4.0] - 2023-04-05

Added

• WARNING: Breaking changes!
• DenseMatrix constructor now returns Result to avoid user instantiating inconsistent rows/cols count. Their return values need to be unwrapped with unwrap(), see tests

[0.3.0] - 2022-11-09

Added

• WARNING: Breaking changes!
• Complete refactoring with extensive API changes that includes:
  • moving to a new traits system, less structs more traits
  • adapting all the modules to the new traits system
  • moving to Rust 2021, use of object-safe traits and as_ref
  • reorganization of the code base, eliminate duplicates
• implements readers (needs "serde" feature) for read/write CSV file, extendible to other formats
• default feature is now Wasm-/Wasi-first

Changed

• WARNING: Breaking changes!
• Seeds to multiple algorithims that depend on random number generation
• Added a new parameter to train_test_split to define the seed
• changed use of "serde" feature

Dropped

• WARNING: Breaking changes!
• Drop nalgebra-bindings feature, only ndarray as supported library

[0.2.1] - 2021-05-10

Added

• L2 regularization penalty to the Logistic Regression
• Getters for the naive bayes structs
• One hot encoder
• Make moons data generator
• Support for WASM.

Changed

• Make serde optional

... (truncated)

Commits

• a7f3b5d refactor(metrics): share per-class confusion counts across Precision/Recall/F...
• ce68041 fix(f1): review follow-ups from #382 (#383)
• 0bd7464 Fix multiclass macro F1 to average per-class F-scores (#382)
• f51248b Cleanup (#380)
• 550241e Update ndarray requirement from 0.15 to 0.17 (#353)
• 9ed0e63 fix(auc+encoder): review follow-ups from #374, clippy fix, coverage tests, v0...
• 938696a Fix ROC AUC computation for tied prediction scores (#374)
• bbfee21 Update itertools requirement from 0.13.0 to 0.15.0 (#372)
• See full diff in compare view

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