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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
102 stars 16 forks source link

Some small changes to update things for more recent versions of packages. #115

Closed mmcdermott closed 4 months ago

coderabbitai[bot] commented 4 months ago

Walkthrough

The updates across several files aim to replace usage of np.NaN with float('nan') to handle missing or filtered values uniformly. This change improves consistency in handling outliers and null values across different functions, datasets, and tests within the data library, while also refining boundary conditions and value transformation processes.

Changes

Files Summary
EventStream/data/README.md Updated representation of missing or filtered values from np.NaN to float('nan').
EventStream/data/dataset_polars.py Refactored drop_or_censor, _transform_numerical_measurement, and _transform_categorical_measurement to use float('nan') instead of np.NaN, and adjusted boundary condition handling.
EventStream/data/pytorch_dataset.py Modified to_int_index function to handle null values and sorting differently, influencing added columns and return values.
tests/data/test_pytorch_dataset.py Updated the dynamic_values lists to use float("nan") instead of np.NaN for null value representation.

Sequence Diagram(s)

Sequence diagrams are not applicable for these changes as the updates mainly involve data representation and handling refinements, without significant alterations to control flow or feature interactions.

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