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As per the title, importing a .pmml file is throwing this error.
I'm using the following versions:
pypmml-spark-0.9.15
pyspark-3.2.1
py4j-0.10.9.3
Is this a solvable problem?
ghost updated
2 years ago
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I have a PySpark XGBoost pipelineModel, and it was saved as PMML in the following way:
```
pipelineModel = Pipeline(stages=pipeline_stages).fit(df)
pmml_builder = PMMLBuilder(sc, df, pipelineModel)…
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I created a SparkML Pipeline and save it out as instructed in the README example. When reading the pmml model in, will I be able to do so without spark context?
The example reading the model in fro…
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```
df = spark.read.format('com.databricks.spark.csv').options(header='true', inferschema='true').load(input_dir+'stroke_100K_1.csv')
classifier = DecisionTreeClassifier(labelCol="label", featuresCo…
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I run this code in pyspark:
```python
pmmlBuilder=PMMLBuilder(sc,train_data,model)\
.putOption(None,sc._jvm.org.jpmml.sparkml.model.HasTreeOptions.OPTION_COMPACT,True)\
.verify(tra…
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Hello, I am trying to use Openscoring as a web service to get APIs. I am very new to this so I do hope to get some help.
```
from openscoring import Openscoring
os = Openscoring(base_url = "ht…
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**Is your feature request related to a problem? Please describe.**
Add support for Spark MLlib models in BentoML
**Describe the solution you'd like**
Add a new model artifact class `PySparkModelA…
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Hi Villu,
It is often the case that for preprocessing purposes, variables might need to be derived using some other already derived columns. Nevertheless, it is impossible to reference an alias in …
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* expose Spark standalone runtime models with a thin REST server or gRPC server that respects the [internal model API](https://github.com/SeldonIO/seldon-core/blob/master/docs/reference/internal-api.…
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version info:spark2.4.0 jpmml 1.5.0
I want to change column type in pipelinemodel,its successful in pipelinemodel,but not in pmml build.Any one can help me.Thanks!
when I run code:
```
import …