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MLeap: Deploy ML Pipelines to Production
Bumps [pyspark](https://github.com/apache/spark) from 3.2.0 to 3.2.2. Commits 78a5825 Preparing Spark release v3.2.2-rc1 ba978b3 [SPARK-39099][BUILD] Add dependencies to Dockerfile for building Spark releases 001d8b0 [SPARK-37554][BUILD] Add PyArrow, pandas and plotly to...
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Signed-off-by: Weichen Xu Upgrade xgboost dependency to be 1.6.1 version
Following the recent [sbt upgrade](https://github.com/combust/mleap/pull/818), the "publish signed jars" step [broke](https://app.travis-ci.com/github/combust/mleap/jobs/575823488) cause it relies on an encrypted file `travis/travis.tar` extracted in `travis/extract.sh` which has some code in it that still...
File "E:\Anaconda\lib\site-packages\mleap\pyspark\spark_support.py", line 24, in serializeToBundle serializer = SimpleSparkSerializer() File "E:\Anaconda\lib\site-packages\mleap\pyspark\spark_support.py", line 39, in __init__ self._java_obj = _jvm().ml.combust.mleap.spark.SimpleSparkSerializer() TypeError: 'JavaPackage' object is not callable
In [this documentation](https://github.com/combust/mleap#requirements) (and maybe elsewhere?), it says that only Java8 is actually supported by MLeap but is it still the case after the upgrade to Scala 3? I'm asking...
HI: when I deal with flink Dataset ,I want to convert it to Mleap DenseVector for tensorflow model train dataset input,Need to do this. but I could not found these...
Hi : I know how to convert mleap tensor to tensorflow tensor use our package, but I don't know how to make spark dataframe convert to mleap tensor[Double], I have...
[SimpleSparkSerializer](https://github.com/combust/mleap/blob/087e8f04f79d08bad5e37600c4668dfb0328013f/python/mleap/pyspark/spark_support.py#L36) use the default `json` format. But for model like Word2Vec, size can be huge and json decode with current design will cause heap OOM. To ease this problem, protobuf...
MleapReflection use `Thread.currentThread().getContextClassLoader` as classLoader for `mirror`. In some case we need to specified classLoader without changing the current thread's classLoader. Providing a set method here will make this hack...
Existing ChiSqSelectorModel assume filterIndiecs is sorted But since spark 3.0.0, filterIndiecs is not sorted any more. This PR simply sort the filterIndiecs and use it later.