plismbench.utils.evaluate module#

Utility functions for metrics evaluation.

plismbench.utils.evaluate.get_tiles_subset_idx(n_tiles: int) → ndarray[source]#: Get tiles subset from the original 16_278.

plismbench.utils.evaluate.load_features(fpath: Path) → ndarray[source]#: Load features from path using caching and convert to float32.

plismbench.utils.evaluate.prepare_features_dataframe(features_dir: Path, extractor: str) → DataFrame[source]#: Prepare unique WSI features dataframe with features paths and metadata.

plismbench.utils.evaluate.prepare_pairs_dataframe(features_dir: Path, extractor: str) → DataFrame[source]#: Prepare all pairs dataframe with features paths and metadata.