chore: bump polars 0.51→0.53 and update all dependencies#2
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geohardtke wants to merge 2 commits into
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May 18, 2026 12:59
- Updated polars dependency from 0.51 to 0.53 - Migrated DataFrame::new(columns) → DataFrame::new(height, columns) across 24 calls - Migrated df.get_columns() → df.columns() - Migrated with_column(series) → with_column(series.into()) for Column type - Fixed additional API changes in features, model, and preprocessing modules
Dependency upgrades: - polars 0.51 → 0.53 (previous commit) - rayon 1.10 → 1.12 - bytemuck 1.19 → 1.25 - ordered-float 4.5 → 5.3 - clap 4.5 → 4.6 - csv 1.3 → 1.4 - tempfile 3.15 → 3.27 - fastrand 2.3 → 2.4 - faer 0.23 → 0.24 - rand 0.9 → 0.10 - bincode 1.3 → 2.0 (skipped 3.0 joke release) - fs4 0.13 → 1.1 - pyo3 0.23 → 0.28, numpy 0.23 → 0.28 - wgpu 27 → 29 - cudarc 0.18.2 → 0.19.7 - criterion 0.5 → 0.8 - rand_distr 0.5 → 0.6 - forust-ml 0.4 → 0.5 API migration fixes: - rand 0.10: Rng trait → RngExt (7 sites) - fs4 1.x: fs4::fs_std::FileExt → fs4::FileExt, try_lock_exclusive() → try_lock() - bincode 2.x: serialize_into/deserialize_from → serde::encode_into_std_write/decode_from_std_read
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Hi there! First off, thanks for the great work on treeboost!
Summary
I needed polars 0.53 for a downstream project and ran into the version constraint, so I went ahead and bumped polars from 0.51 to 0.53 along with all the other dependencies. Hope this is helpful!
Changed Areas
loader.rs,pipeline.rs,dataframe.rscrosssectional.rs,dataframe.rs,smart.rssteps.rs,predictor.rs,incremental.rs,training.rsdataframe.rs,polars_ext.rs,smart.rsbincode_io.rs,trb.rsexecution.rs,grid.rs,types.rsanalyzer.rs,profiler.rsautoml_ltt.rs,automl_multilabel.rs,automl_profile.rs,multilabel.rs