Refactor dataset diff and compute metric #381
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python/lance/_lib.pyx
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| Parameters | ||
| ---------- | ||
| metric_func: FileSystemDataset -> pd.DataFrame |
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Callalble[[FileSystmeDataset], pd.DataFrame]
python/lance/_lib.pyx
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| def compute_metric(self, metric_func: Callable[[Dataset], pd.DataFrame], | ||
| versions: list[int] = None) -> pd.DataFrame: | ||
| """ | ||
| Compute a metric across versions for this dataset |
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Main concerns are the stability / maturity of these two APIs.
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as discussed, moved to lance/__init__.py and not as a Dataset method
python/lance/_lib.pyx
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| metric_func: FileSystemDataset -> pd.DataFrame | ||
| Function to compute some arbitrary metric for a given version | ||
| versions: list of int, default None | ||
| Compute for specified versions. Compute for all versions if None. |
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Should the default behavior to just compute metrics for latest version ?
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i don't think you'd really need this method then. If you just wanted to compute on latest version, metric_func(ds) is simpler than compute_metrics(ds, metric_func). wdyt?
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ds.compute_metric(func)andds.diff(v1, v2)to dataset interface