fix: LightGBM Ensure non-duplicate column names

[ranadeepsingh]

Related Issues/PRs

#xxx

What changes are proposed in this pull request?

Briefly describe the changes included in this Pull Request.

How is this patch tested?

• I have written tests (not required for typo or doc fix) and confirmed the proposed feature/bug-fix/change works.

Does this PR change any dependencies?

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• Yes. Make sure the dependencies are resolved correctly, and list changes here.

Does this PR add a new feature? If so, have you added samples on website?

• No. You can skip this section.
• Yes. Make sure you have added samples following below steps.

1. Find the corresponding markdown file for your new feature in website/docs/documentation folder.
   Make sure you choose the correct class estimators/transformers and namespace.
2. Follow the pattern in markdown file and add another section for your new API, including pyspark, scala (and .NET potentially) samples.
3. Make sure the DocTable points to correct API link.
4. Navigate to website folder, and run yarn run start to make sure the website renders correctly.
5. Don't forget to add <!--pytest-codeblocks:cont--> before each python code blocks to enable auto-tests for python samples.
6. Make sure the WebsiteSamplesTests job pass in the pipeline.

[ranadeepsingh]

/azp run

[github-actions]

Hey @ranadeepsingh 👋!
Thank you so much for contributing to our repository 🙌.
Someone from SynapseML Team will be reviewing this pull request soon.

We use semantic commit messages to streamline the release process.
Before your pull request can be merged, you should make sure your first commit and PR title start with a semantic prefix.
This helps us to create release messages and credit you for your hard work!

Examples of commit messages with semantic prefixes:

• fix: Fix LightGBM crashes with empty partitions
• feat: Make HTTP on Spark back-offs configurable
• docs: Update Spark Serving usage
• build: Add codecov support
• perf: improve LightGBM memory usage
• refactor: make python code generation rely on classes
• style: Remove nulls from CNTKModel
• test: Add test coverage for CNTKModel

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Azure Pipelines successfully started running 1 pipeline(s).

[codecov-commenter]

Codecov Report

❌ Patch coverage is 74.62687% with 17 lines in your changes missing coverage. Please review.
✅ Project coverage is 83.80%. Comparing base (5d4a3ef) to head (4cb326b).

Files with missing lines	Patch %	Lines
...osoft/azure/synapse/ml/lightgbm/LightGBMBase.scala	60.46%	17 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##           master    #2508      +/-   ##
==========================================
- Coverage   84.61%   83.80%   -0.82%     
==========================================
  Files         334      334              
  Lines       17669    17707      +38     
  Branches     1625     1635      +10     
==========================================
- Hits        14951    14839     -112     
- Misses       2718     2868     +150     

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[ranadeepsingh]

/azp run

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[ranadeepsingh]

/azp run

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[ranadeepsingh]

/azp run

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Azure Pipelines successfully started running 1 pipeline(s).

[ranadeepsingh]

/azp run

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Azure Pipelines successfully started running 1 pipeline(s).

[ranadeepsingh]

/azp run

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Azure Pipelines successfully started running 1 pipeline(s).