fix: min_data_in_leaf missing from dataset parameters in lightgbm

[imatiach-msft]

fix performance issue when comparing lightgbm to MPI by adding missing min_data_in_leaf parameter to the set of dataset params used during dataset creation

[imatiach-msft]

/azp run

[azure-pipelines]

Azure Pipelines successfully started running 1 pipeline(s).

[codecov-commenter]

Codecov Report

Merging #1239 (0b3080a) into master (5733b85) will decrease coverage by 0.67%.
The diff coverage is 100.00%.

@@            Coverage Diff             @@
##           master    #1239      +/-   ##
==========================================
- Coverage   83.57%   82.89%   -0.68%     
==========================================
  Files         264      248      -16     
  Lines       12919    11981     -938     
  Branches      634      631       -3     
==========================================
- Hits        10797     9932     -865     
+ Misses       2122     2049      -73     

Impacted Files	Coverage Δ
...osoft/azure/synapse/ml/lightgbm/LightGBMBase.scala	94.88% <100.00%> (+0.02%)	⬆️
...ala/org/apache/spark/ml/param/EstimatorParam.scala	12.50% <0.00%> (-62.50%)	⬇️
...org/apache/spark/ml/param/JsonEncodableParam.scala	53.33% <0.00%> (-26.67%)	⬇️
...g/apache/spark/ml/param/PythonWrappableParam.scala	50.00% <0.00%> (-25.00%)	⬇️
...oft/azure/synapse/ml/codegen/GenerationUtils.scala	75.00% <0.00%> (-25.00%)	⬇️
...osoft/azure/synapse/ml/codegen/CodegenConfig.scala	66.66% <0.00%> (-14.82%)	⬇️
...ala/org/apache/spark/ml/param/DataFrameParam.scala	58.33% <0.00%> (-8.34%)	⬇️
...om/microsoft/azure/synapse/ml/onnx/ONNXModel.scala	8.88% <0.00%> (-2.71%)	⬇️
...c/main/python/synapse/ml/cyber/anomaly/__init__.py
...thon/synapse/ml/cyber/anomaly/complement_access.py
... and 15 more

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[mhamilton723]

/azp run

[azure-pipelines]

Azure Pipelines successfully started running 1 pipeline(s).