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sktime / skpro

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
https://skpro.readthedocs.io/en/latest
BSD 3-Clause "New" or "Revised" License
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[MNT] [Dependabot](deps): Update polars requirement from <1.14.0 to <1.16.0 #501

Open dependabot[bot] opened 1 day ago

dependabot[bot] commented 1 day ago

Updates the requirements on polars to permit the latest version.

Release notes

Sourced from polars's releases.

Python Polars 1.15.0

šŸš€ Performance improvements

  • Reduce the size of row encoding UTF-8 (#19911)
  • Memoize duplicates in rolling-gb-dyn (#19939)
  • More efficient row encoding for pl.List (#19907)
  • Half the size of Booleans in row encoding (#19927)
  • Rolling 'iter_lookbehind' breeze through duplicates (#19922)
  • Initially trim leading and trailing filtered rows (#19850)

āœØ Enhancements

  • Catch use of 'polars' in to_string for non-Duration dtypes and raise an informative error (#19977)
  • Add AhoCorasick backed 'find_many' (#19952)
  • Allow Python Enums as dtype inputs (#19926)
  • Speed up starts_with for small prefixes (#19904)
  • Auto-enable hive partitioning if hive_schema was given (#19902)
  • Add pl.concat_arr to concatenate columns into an Array column (#19881)
  • Support both "iso" and "iso:strict" format options for dt.to_string (#19840)
  • Add rounding for Decimal type (#19760)
  • Improved array arithmetic support (#19837)

šŸž Bug fixes

  • Fix Decimal type fill_null (#19981)
  • Fix panic on schema merge for prefiltering (#19972)
  • Fix lazy frame join expression (#19974)
  • Fix gather_every for Scalar (#19964)
  • Toggle 'fast_unique' on new_from_index (#19956)
  • Parse uppercase config keys (#19852)
  • Raise proper error message when too small interval is passed to datetime_range (#19955)
  • Fix scalar object (#19940)
  • Raise InvalidOperationError for invalid float to decimal casts (e.g. Inf, NaN) (#19938)
  • Address indexing edge-case with numpy arrays (#19895)
  • Fix panic with combination of hive and parquet prefiltering (#19905)
  • Fix panic when joining with empty frame (debug only) (#19896)
  • Fix incorrect result from inequality filter after join on LazyFrame (#19898)
  • Misleading ShapeError error message on dataframe creation (#19901)
  • Fix panic with empty delta scan, or empty parquet scan with a provided schema (#19884)
  • Ensure type object of inputs for cached any-value conversion functions are kept alive (#19866)
  • Improve export from 2D Array dtype columns to PyTorch Tensors (to_torch) and Jax Arrays (to_jax) (#19862)
  • Fix panic using scan_parquet().with_row_index() with hive partitioning enabled (#19865)
  • Improve histogram bin logic (#18761)
  • Raise informative error instead of panicking for list arithmetic on some invalid dtypes (#19841)
  • Properly handle Zero-Field Structs in row encoding (#19846)
  • Incorrect explode schema for LazyFrame.explode() (#19860)
  • DataFrame rows_by_key returning key tuples with elements in wrong order (#19486)
  • Ensure List element truncation ellipses respect ASCII* table formats (#19835)

šŸ“– Documentation

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