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fixed:
org.jpmml.sparkml.ModelConverter class , method encodeSchema
//author: liujunfeng 修复多层感知机label类别和数量识别不对
if (model instanceof MultilayerPerceptronClassification…
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Hi,
We're attempting to convert a SparkML Pipeline of `[SQLTransformer(simple string replacement for empty/null strings), StringIndexer, OneHotEncoder, VectorAssember, Sparse2Dense, xgboost classif…
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May I ask when the spark3.3.X will be supported?
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https://discuss.xgboost.ai/t/xgboost-1-7-fits-much-worse-than-1-5-on-noisy-data-with-reproducible-experiment/3108
Related:
https://github.com/jpmml/jpmml-sparkml/issues/128
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Currently you cannot load a SparkML model as a UDF with MLflow due to named column bug.
Error message: pyspark.sql.utils.IllegalArgumentException: sepal_length does not exist. Available: 0, 1, 2, 3…
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I have a custom transformer python class that I use with a spark mllib pipeline. I want to log the model to mlflow, register it to the mlflow model registry, and load it with spark. I'm able to log th…
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I used scala train a XGB model, and got a result before export pmml model by predicting test data, and then I import pmml model to predict by the same test data , I got totally diffrent result. I dont…
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I'm getting the following error when trying to add jpmml-sparkml to my POM.
```
Could not resolve dependencies for project com.mycompany.app:my-app:jar:1.0-SNAPSHOT: Could not find artifact org.jpmm…
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I trained 2 base models and one meta model that uses the probability columns of the first 2 models in order to make a final prediction.
Lets say the base models are named A and B and the meta model…
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In xgboost 1.5.0 release, a breaking change is introduced to the model format causing this error when trying to use `convert`:
```
ValueError: invalid literal for int() with base 10: ''
```
The er…