Ryan Avery created SPARK-46948: ---------------------------------- Summary: Support higher dimensional array return values in predict_batch_udf beyond 1 or 2 dimensional arrays Key: SPARK-46948 URL: https://issues.apache.org/jira/browse/SPARK-46948 Project: Spark Issue Type: Improvement Components: ML Affects Versions: 3.5.0 Reporter: Ryan Avery
pyspark.ml.functions.predict_batch_udf does not support return types with more than 2 dimensions: [https://github.com/apache/spark/pull/37734#discussion_r1016156053] Many computer vision models return ndarrays with 3 or 4 dimensions. Segmentation returns 3 dimensions: [Category, H, W]and if there is a time dimension, that's the fourth dimension. -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org