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Replace use of list for cached_data and subject_ids in pytorch dataset with polars objects #74

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Replace use of list for cached_data and subject_ids in pytorch dataset with polars objects #74

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5 changes: 2 additions & 3 deletions EventStream/data/pytorch_dataset.py
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Original file line number Diff line number Diff line change
Expand Up @@ -303,10 +303,9 @@ def __init__(self, config: PytorchDatasetConfig, split: str):
self.cached_data = self.cached_data.sample(seed=self.config.train_subset_seed, **kwargs)

with self._time_as("convert_to_rows"):
self.subject_ids = self.cached_data["subject_id"].to_list()
self.subject_ids = self.cached_data["subject_id"]
self.cached_data = self.cached_data.drop("subject_id")
self.columns = self.cached_data.columns
self.cached_data = self.cached_data.rows()

@staticmethod
def _build_task_cached_df(task_df: pl.LazyFrame, cached_data: pl.LazyFrame) -> pl.LazyFrame:
Expand Down Expand Up @@ -479,7 +478,7 @@ def _seeded_getitem(self, idx: int) -> dict[str, list]:
output format.
"""

full_subj_data = {c: v for c, v in zip(self.columns, self.cached_data[idx])}
full_subj_data = {c: v for c, v in zip(self.columns, self.cached_data.row(idx))}
for k in ["static_indices", "static_measurement_indices"]:
if full_subj_data[k] is None:
full_subj_data[k] = []
Expand Down
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