Load and save the lightGBM classifier not producing the same results

[kushagra1606]

SynapseML version

0.10.2

System information

• Language version (e.g. python 3.8, scala 2.12): python 3.8
• Spark Version (e.g. 3.2.3): 3.3.2
• Spark Platform (e.g. Synapse, Databricks): Databricks

Describe the problem

Trained a lightGBM classifier. I tried to save this in the native format and load it back again with the below code -

LightGBMClassificationModel.loadNativeModelFromString(model.getNativeModel())

I am not getting the same results with the load and save model as compared to original.

Can someone please help?

Code to reproduce issue

LightGBMClassificationModel.loadNativeModelFromString(model.getNativeModel())

Other info / logs

No response

What component(s) does this bug affect?

• [ ] area/cognitive: Cognitive project
• [ ] area/core: Core project
• [ ] area/deep-learning: DeepLearning project
• [ ] area/lightgbm: Lightgbm project
• [ ] area/opencv: Opencv project
• [ ] area/vw: VW project
• [ ] area/website: Website
• [ ] area/build: Project build system
• [ ] area/notebooks: Samples under notebooks folder
• [ ] area/docker: Docker usage
• [ ] area/models: models related issue

What language(s) does this bug affect?

• [ ] language/scala: Scala source code
• [ ] language/python: Pyspark APIs
• [ ] language/r: R APIs
• [ ] language/csharp: .NET APIs
• [ ] language/new: Proposals for new client languages

What integration(s) does this bug affect?

• [ ] integrations/synapse: Azure Synapse integrations
• [ ] integrations/azureml: Azure ML integrations
• [ ] integrations/databricks: Databricks integrations

[github-actions[bot]]

Hey @kushagra1606 :wave:! Thank you so much for reporting the issue/feature request :rotating_light:. Someone from SynapseML Team will be looking to triage this issue soon. We appreciate your patience.