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Anyone else frustrated like me at the lack of mleap support ? I'm desperate enough that I'm willing to pay the creators to help get my issues resolved.
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Hi, I am trying to run my Spark trained mleap serialized model using spring-boot as documented here:
```
https://github.com/combust/mleap/tree/master/mleap-spring-boot
```
I'm obta…
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Hello,
I am currently working in a project where a machine learning model has been created using Apache Spark & XGBoost4J. In order to deploy this model in a productive environment, I've used MLea…
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I serialized a scikit model in python, using a dataset with the following schema,
TOY_DATA_SCHEMA = StructType(
[
StructField("long_feature", LongType()),
StructField("double_…
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For my xgboost model, predicted probabilities for the non-serialized and serialized model match only upto 7 significant digits. I also noticed that in the xgboost tests for mleap, we're only checking …
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I trained a pipeline in Spark and successfully serialized it through MLeap. When I tried to use the serialized MLeap pipeline at runtime, some strange type casting error occurs. Then I checked the raw…
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Hi,
Is it possible to create custom transformers in pyspark using mleap? This [doc](https://github.com/combust/mleap-docs/blob/master/faq.md) states that the pyspark support is yet to come. On the…
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Howdy,
Is there a simple way having an instance of Spark `Transformer` convert it into `Bundle[ml.combust.mleap.runtime.frame.Transformer]` in memory without passing through files? Example:
```s…
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It is no longer possible to use a linear regression model having been serialized and then deserialized using mleap in spark 2.3.
The following sequence of operations fails
```scala
import m…
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Would be nice to have this feature.
I have to re-train the model every time I restart the machine.