Comments (2)
The spark assembly in HDP 2.4 had an incompatible version of jpmml that is not shaded.
You can always shade JPMML classes in your application (eg. relocating class org.dmg.pmml.DataField
to com.mycompany.org.dmg.pmml.DataField
), so that these kind of class version conflicts are avoided.
If you're not familiar with Apache Maven and shading, then you should use the JPMML-SparkML-Package instead of JPMML-SparkML. The latter should be regarded as "middleware product", not as "finished product".
Also, you should be invoking ConverterUtil#toPMMLByteArray(StructType, PipelineModel)
instead of ConverterUtil#toPMML(...)
. The result type of this method is a Java byte array (byte[]
), which is easy to move between shaded/unshaded environments.
from jpmml-sparkml.
@vruusmann yes, I shaded JPMML classes. And it worked.
from jpmml-sparkml.
Related Issues (20)
- MultilayerPerceptronClassificationModel IllegalArgumentException("Expected 3 target categories, got 2 target categories"); HOT 1
- How to import the training data schema in libsvm format HOT 15
- Wrong code path for multinomial logistic regression model HOT 1
- Probability column not being found when using it in a stacked model HOT 6
- StringIndexerModelConverter gives java.lang.IllegalArgumentException HOT 4
- java.lang.ClassNotFoundException: org.jpmml.converter.BaseNFeature HOT 5
- Support for custom Java-backed models (eg. factorization machine) HOT 1
- Why One-Hot-Encoding is not visible in PMML? HOT 1
- py4j.protocol.Py4JError: org.jpmml.sparkml.PMMLBuilder does not exist in the JVM HOT 1
- Error with LightGBMClassificationModel HOT 5
- Support for `XGBoostRegressor.missing` property HOT 6
- Troubleshooting XGBoost model performance HOT 17
- Support for Apache Spark 3.3.X HOT 2
- 2.x jars missing from Maven Central HOT 3
- Support for `replace` SQL function HOT 6
- Exception in thread "main" java.lang.NoClassDefFoundError: com/microsoft/azure/synapse/ml/codegen/Wrappable
- java.lang.NoSuchMethodError: org.jpmml.sparkml.SparkMLEncoder.getDataField HOT 1
- Databricks Install HOT 1
- Version v4 is not supported HOT 2
- Cannot convert (partially-) unfitted pipelines HOT 22
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from jpmml-sparkml.