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Hello, is there a plan to upgrade the sparkml serving containers to support pipeline models generated using Spark 2.4.3 and serialized using Mleap 0.14.0. Greatly appreciate if some could please share…
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Create multi-language wrappers that can run Java, C++ and R models. For this, we can leverage the existing research in Seldon Core which leverages tools like JNI and PyBind to bridge from Python to ot…
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i have a RandomForestClassificationModel which i deserialized from a saved mleap bundled file:
`model = deserialized_pipeline.stages[-1:][0]`
gives:
`RandomForestClassificationModel (uid=Rand…
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hi,
I have serialized a xgboost-spark pipeline model in bundle format, but I could not load it into spring boot service because of "xgboost.classifier" op is not supported. I found that mleap-x…
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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…
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I have a "bundle.zip" serialized from pyspark.
I want to deserialize this pipeline object in my python application without needing a spark context.
according to the documentation this is possible:
…
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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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**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
f…
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Hello Team,
When I am trying to serialize a Spark Pipeline Model to a Mleap bundle. I am getting the below exception
java.util.NoSuchElementException: key not found: org.apache.spark.ml.Pipeline…
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We have a Spark ML pipeline with SQLTransformer along with UDF.
I checked at https://github.com/combust/mleap/tree/master/mleap-spark/src/main/scala/org/apache/spark/ml/bundle/ops/feature
and didn…