fix

Signed-off-by: Eric Liang <[email protected]>
ray-project · Jul 23, 2022 · d093948 · d093948
1 parent 02c23f9
commit d093948
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diff --git a/doc/source/data/doc_code/key_concepts.py b/doc/source/data/doc_code/key_concepts.py
@@ -57,7 +57,7 @@ def map_udf(df):
     return df
 
 ds = ray.data.read_parquet("example://iris.parquet") \
-    .experimental_lazy() \
+    .lazy() \
     .map_batches(map_udf) \
     .filter(lambda row: row["sepal.area"] > 15)
 # __block_move_end__

diff --git a/doc/source/data/memory-management.rst b/doc/source/data/memory-management.rst
@@ -63,7 +63,7 @@ That's why Datasets offers a lazy execution mode, which you can transition to af
 you're done prototyping your Datasets pipeline.
 
 Lazy execution mode can be enabled by calling
-:meth:`ds = ds.experimental_lazy() <ray.data.Dataset.experimental_lazy()>`, which
+:meth:`ds = ds.lazy() <ray.data.Dataset.lazy()>`, which
 returns a dataset whose all subsequent operations will be **lazy**. These operations
 won't be executed until the dataset is consumed (e.g. via
 :meth:`ds.take() <ray.data.Dataset.take>`,