Merge pull request #420 from NVIDIA/branch-24.08

[auto-merge] branch-24.08 to branch-24.10 [skip ci] [bot]

README.md

@@ -25,7 +25,6 @@ Here is the list of notebooks in this repo:
 | 5 | XGBoost | Taxi (Scala) | End-to-end ETL + XGBoost example to predict taxi trip fare amount with [NYC taxi trips data set](https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page)
 | 6 | ML/DL | Criteo Training | ETL and deep learning training of the Criteo 1TB Click Logs dataset
 | 7 | ML/DL | PCA End-to-End | Spark MLlib based PCA example to train and transform with a synthetic dataset
-| 8 | UDF | cuSpatial - Point in Polygon | Spark cuSpatial example for Point in Polygon function using NYC Taxi pickup location dataset
 
 Here is the list of Apache Spark applications (Scala and PySpark) that 
 can be built for running on GPU with RAPIDS Accelerator in this repo:
@@ -36,8 +35,7 @@ can be built for running on GPU with RAPIDS Accelerator in this repo:
 | 2 | XGBoost | Mortgage (Scala) | End-to-end ETL + XGBoost example to predict mortgage default with [Fannie Mae Single-Family Loan Performance Data](https://capitalmarkets.fanniemae.com/credit-risk-transfer/single-family-credit-risk-transfer/fannie-mae-single-family-loan-performance-data)
 | 3 | XGBoost | Taxi (Scala) | End-to-end ETL + XGBoost example to predict taxi trip fare amount with [NYC taxi trips data set](https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page)
 | 4 | ML/DL | PCA End-to-End | Spark MLlib based PCA example to train and transform with a synthetic dataset
-| 5 | UDF | cuSpatial - Point in Polygon | Spark cuSpatial example for Point in Polygon function using NYC Taxi pickup location dataset
-| 6 | UDF | URL Decode | Decodes URL-encoded strings using the [Java APIs of RAPIDS cudf](https://docs.rapids.ai/api/cudf-java/legacy/)
-| 7 | UDF | URL Encode | URL-encodes strings using the [Java APIs of RAPIDS cudf](https://docs.rapids.ai/api/cudf-java/legacy/)
-| 8 | UDF | [CosineSimilarity](./examples/UDF-Examples/RAPIDS-accelerated-UDFs/src/main/java/com/nvidia/spark/rapids/udf/java/CosineSimilarity.java) | Computes the cosine similarity between two float vectors using [native code](./examples/UDF-Examples/RAPIDS-accelerated-UDFs/src/main/cpp/src)
-| 9 | UDF | [StringWordCount](./examples/UDF-Examples/RAPIDS-accelerated-UDFs/src/main/java/com/nvidia/spark/rapids/udf/hive/StringWordCount.java)  | Implements a Hive simple UDF using [native code](./examples/UDF-Examples/RAPIDS-accelerated-UDFs/src/main/cpp/src) to count words in strings
+| 5 | UDF | URL Decode | Decodes URL-encoded strings using the [Java APIs of RAPIDS cudf](https://docs.rapids.ai/api/cudf-java/legacy/)
+| 6 | UDF | URL Encode | URL-encodes strings using the [Java APIs of RAPIDS cudf](https://docs.rapids.ai/api/cudf-java/legacy/)
+| 7 | UDF | [CosineSimilarity](./examples/UDF-Examples/RAPIDS-accelerated-UDFs/src/main/java/com/nvidia/spark/rapids/udf/java/CosineSimilarity.java) | Computes the cosine similarity between two float vectors using [native code](./examples/UDF-Examples/RAPIDS-accelerated-UDFs/src/main/cpp/src)
+| 8 | UDF | [StringWordCount](./examples/UDF-Examples/RAPIDS-accelerated-UDFs/src/main/java/com/nvidia/spark/rapids/udf/hive/StringWordCount.java)  | Implements a Hive simple UDF using [native code](./examples/UDF-Examples/RAPIDS-accelerated-UDFs/src/main/cpp/src) to count words in strings