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mmcdermott / EventStreamGPT

Dataset and modelling infrastructure for modelling "event streams": sequences of continuous time, multivariate events with complex internal dependencies.
https://eventstreamml.readthedocs.io/en/latest/
MIT License
94 stars 15 forks source link

Polars upgrade to 0.20+ #101

Closed mmcdermott closed 2 months ago

mmcdermott commented 2 months ago

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coderabbitai[bot] commented 2 months ago

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Commits Files that changed from the base of the PR and between 839231eea1337159794fd0c0c7557e666786064b and f370f08b769369ce6abf686b5abfaf365d91da6d.

Walkthrough

The updates across the EventStream project focus on enhancing functionality and ensuring consistency. These changes include adding support for various categorical orderings, standardizing column names, optimizing join methods, adjusting data types for precision, and upgrading the polars library version for improved efficiency and compatibility.

Changes

Files Changes Summary
.../dataset_polars.py - Support for various categorical orderings.
- Standardized column names and join methods.
- Renamed with_row_count to with_row_index.
.../pytorch_dataset.py - Added categorical ordering support.
- Updated list length function.
- Replaced with_row_count with with_row_index.
.../profile.py - Adjusted data types for time and numeric fields.
- Replaced pl.count() with pl.len().
pyproject.toml - Upgraded polars dependency version.

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