fix some docstrings

src/fast_forward/index/disk.py

@@ -24,7 +24,7 @@
 class OnDiskIndex(Index):
     """Fast-Forward index that is read on-demand from disk.
 
-    Uses HDF5 via h5py under the hood. The `max_indexing_size` works around a
+    Uses HDF5 via h5py under the hood. The `max_indexing_size` argument works around a
     [h5py limitation](https://docs.h5py.org/en/latest/high/dataset.html#fancy-indexing).
     """
 

src/fast_forward/index/memory.py

@@ -34,7 +34,7 @@ def __init__(
         :param quantizer: The quantizer to use.
         :param mode: The ranking mode.
         :param encoder_batch_size: Batch size for the query encoder.
-        :param init_size: Initial index size. (number of vectors), defaults to 2**14
+        :param init_size: Initial index size (number of vectors).
         :param alloc_size: Shard size (number of vectors) allocated when index is full.
         """
         self._shards = []

src/fast_forward/ranking.py

@@ -365,7 +365,7 @@ def from_run(
         """Create a Ranking object from a TREC run.
 
         :param run: TREC run.
-        :param name: Method name. Defaults to None.
+        :param name: Method name.
         :param queries: Query IDs mapped to queries.
         :param dtype: How the score should be represented in the data frame.
         :return: The resulting ranking.