Comments (6)
Erik,
When you get a chance, would you please look into this? I can provide further information about how I used TDigestSQL if needed. But mostly, I used TDigestSQL inside a Scala case class for "state", so that I can track multiple TDigestSQL objects within one state.
Thanks!
Richard
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Hi @richardxy, is it possible to share code that reproduces this for me? Also, when you say it didn't run when you submitted it, does that mean it runs using 'spark-shell' but not when submitted to a different cluster?
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[email protected]
or feel free to post it here
from isarn-sketches-spark.
Erik,
When I tested the code for the last time before I was ready to send you the code, and it worked, mysteriously. Just like a patient recovered himself before being sent to a doctor. I'll keep a close eye on it, but for now this ticket can be closed. I apologize for the false alarm.
Thanks!
from isarn-sketches-spark.
glad it is working! I'll close this, but we can re open it later if needed
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Related Issues (15)
- Add an option for feature importance from KL-divergence
- Python: cdfInverse results in wrong order of values on monotonic distribution with large ranges HOT 4
- Python: can't serialize/pickle TDigest due to error in __reduce__
- java.lang.NoClassDefFoundError HOT 12
- Can't use TDigestUDT in spark UDF to get cdf HOT 2
- Python: cdfInverse does not accept a value of 1 as q HOT 6
- TDigest __repr__ not in line with constructor HOT 7
- Potential secutiry vulnerability in the shared library zstd. Can you help upgrade to patch versions? HOT 2
- Support for Spark 3.2 HOT 3
- Serialize Dataframes from TDigest UDAFs HOT 8
- TDigestSQL results from the TDigestUDAF cannot themselves be aggregated in Spark SQL. HOT 4
- use treeAggregate
- get the t-digests from a TDigestFI model
- rewrite pyspark TDigest to wrap scala via py4j
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