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MLeap: Deploy ML Pipelines to Production
**Problem description:** We were able to serialize the XGBoost model with MLeap using the older PySpark API (https://github.com/dmlc/xgboost/pull/4656) as shown below: ``` import mleap.pyspark from mleap.pyspark.spark_support import SimpleSparkSerializer trans_model =...
Bumps [urllib3](https://github.com/urllib3/urllib3) from 1.26.17 to 1.26.18. Release notes Sourced from urllib3's releases. 1.26.18 Made body stripped from HTTP requests changing the request method to GET after HTTP 303 "See Other"...
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Hello maintainers, Is there a mailing list or something similar where security issues be reported? Don't want to report here since it will be completely public
Hi, Snakeyaml for mleap-spring-boot needs to be updated to 2.0 to patch CVE-2022-1471, so springboot will also be needed to version 2.7.10 to be compatible with this snakeyaml version.
Hi, I have been exploring the mleap-spring-boot project. The swagger documentation seems to be off for the transform endpoint. In the swagger for the endpoint --> /models/{modelName}/transform It mentions that...
Hi, Only up to version 0.21.0 is released on dockerhub, could you please release the latest version? Alternatively could you add a dockerfile for building mleap, or better instructions? I...
current abstract class SparkParityBase has a variable `val spark = SparkEnv.spark` Even user override it in child class, it will still create a spark session. change it to `def spark...
Call Stacks ``` java.lang.IllegalArgumentException: size of dimensions must equals size of values at ml.combust.mleap.tensor.Tensor$.normalizeDimensions(Tensor.scala:63) at ml.combust.mleap.tensor.Tensor$.create(Tensor.scala:33) at ml.combust.bundle.tensor.TensorSerializer$.fromProto(TensorSerializer.scala:74) at ml.combust.bundle.dsl.Value.getTensor(Value.scala:323) ``` Possible cause In `ml.combust.bundle.tensor.TensorSerializer$.toProto`, we save `rawValue`, But in...
Current implementation always will convert Tensor to Vector Bug is hidden in `tt.dimensions.size` where `tt.dimensions` is `Option[Seq[Int]]`, so calling `size` on Some will have size of 1 and calling `size`...