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By default, if you train a PySparkML model with a dataframe that has uppercase column names, and then try to run an inference with the same column names but in lowercase, the prediction will fail. Is …
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MLeap solves the single-request low latency prediction problem for Spark pipeline. Quick test shows sklearn native pipeline.predict has pretty good latency < 3ms(sure it depends on the number of trans…
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using scala version 2.12.10 and started it as `spark-shell --packages ml.combust.mleap:mleap-spark-extension_2.12:0.15.0`
running the export demo on https://mleap-docs.combust.ml/demos/
```
sca…
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Following from https://github.com/combust/mleap/issues/617, mleap still appears to depend on a very narrow range of scikit-learn versions: ` 'scikit-learn>=0.22.0,
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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
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Need some clarity,
This is what I did:
- Define custom transformer classes (Core, spark, sparkOp, mleap-runtime, mleapOp)
- Added both spark and mleap to `reference.conf`
- sbt package (creates …
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I don't understand the connection between the prediction results (from a call to `model.transform()`) and serialization of a model (created from a call to `pipeline.fit()`).
Is this prediction set …
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Dear experts,
We noticed that MLeap-serving only support loading models, if and only if, the model is accessible in local file system to MLeap-serving server.
This strongly limits the usage of MLe…
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I get this error, when i use mleap bundle model. because one of input value is missing. But the mleap cannot process this problem. Anyone can help?
My mleap version: 0.13.0
`scala.MatchError: nul…
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### **Issue Description**
Pyspark DecisionTreeRegressionModel loses values in attributes after packaging and loading them.
### **Minimal Reproducible Example**
mleap version: 0.23.1
pyspark ve…