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MLeap: Deploy ML Pipelines to Production
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://github.com/combust/mleap/blob/eb8ef4e51c2059bd4cbac76db44be58de958840f/mleap-xgboost-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/mleap/XGBoostClassificationModelParitySpec.scala#L126) example, but...
It'd be helpful to adopt a python formatter like [Black](https://pypi.org/project/black/) to standardize the syntax and code style.
I am new to both spark and MLeap and am working in a Java codebase trying to update our prediction service to use MLeap (v0.12.0) to predict on spark (v2.3.1)...
Databricks has its own packge for running Deep Learning on Spark: https://github.com/databricks/spark-deep-learning Wondering if MLeap supports this or not? Thanks!
It's not clear to me why this is happening. I was first using spark 2.4.3 but then changed back to 2.3.3 (as I believe support for 2.4 was being considered...
I am trying to create a KSQL UDF serving a Mleap model. The code for a toy example can be found here: [https://gitlab.com/jan-teichmann/ksql-iris-classifier-udf](https://gitlab.com/jan-teichmann/ksql-iris-classifier-udf ) I am loading a pipeline from...
Currently in mleap we only have default leapframe which applies transformation to the dataset row by row. However, as TF does support predictions over a batch of requests and is...
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:...
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-SNAPSHOT...
Hi there. I tried to train a Spark `BinaryLogisticRegressionModel` with a dataset whose labels are the same value and used this model to make predictions. ``` Scala // data val...