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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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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 found the method [TypeConverters.sp…
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I am buliding a Linear Regression model pipeline. While serializing the pipeline I am getting the following error.
`Traceback (most recent call last):
File "train_real_estate_model.py", line 102,…
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I'm trying to generate an ALS model and serialize it into an mleap bundle. When my model gets too large, serializeToBundle throws java.lang.NegativeArraySizeException. Is there a way to fix this witho…
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I've trained a Logistic Regression model with Pyspark, some of these are integers. When the model is loaded into a serving container the schema for the model has those features as floats. According t…
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i just run the image and put a model to localhost:65327,the question is how can i use this model to do prediction?
```
docker run -p 65327:65327 -v /tmp/models:/models combustml/mleap-serving:0.9.0-…
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Versions:
MLeap: 0.12.0
Scala: 2.11.8
Spark: 2.3.1
I'm having issues saving and loading models directly in hadoop. I have a class that looks like
```scala
package com.myProject.nlp.my.utils…
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### System information
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### Code to reproduce issue
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### Describe the problem
I want to deploy a mlflow spark app to sagemaker. Is this possible? As I sucessfully push a image to ECR…
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I am trying to use Mleap to avoid Spark during prediction. Currently, I can export the Spark model to Mleap format, but I cannot find any documents that can tell me how to use the exported model witho…
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I have a model trainer python project that needs support for serializing XGBoost models. I am trying to call the Scala APIs via the jvm following the [XGBoostClassificationModelParitySpec](https://git…