[BUG]Unable to see the tuned hyperparameter from bestmodelinfo

@imatiach-msft is already working on this.

Since Aug 18, 2023.

### SynapseML version

0.9.4

### System information

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

### Describe the problem

I am running hyper-parameter tuning on LightGBM . Once the job completes I am trying to check the tuned hyper-parameter by calling getBestModelInfo() , but it is not printing the hyper-parmeter
`actualNumClasses: 2, featuresCol: TrainClassifier_e7a1f8587a87_features, featuresShapCol: , labelCol: is_opt_out_1_month, leafPredictionCol: , lightGBMBooster: com.microsoft.azure.synapse.ml.lightgbm.booster.LightGBMBooster@4e56743a, numIterations: 1000, predictionCol: prediction, probabilityCol: probability, rawPredictionCol: rawPrediction, startIteration: 0`

### Code to reproduce issue

```
static_params_dict = dict(
objective="binary",
labelCol=target,
earlyStoppingRound=100,
numThreads=20,
numBatches=10,
featuresCol="features",
categoricalSlotNames=cat_features_indexed,
learningRate=0.01,
verbosity=1,
isUnbalance=True,
maxDepth=20,
#numLeaves=20,
#maxBin=255,
numIterations=1000,
boostingType="gbdt"
#useBarrierExecutionMode=True
)
gbt = LightGBMClassifier().setParams(**static_params_dict)
smlmodels = [gbt]
mmlmodels = [TrainClassifier(model=model, labelCol=target) for model in smlmodels]
from synapse.ml.automl import *
paramBuilder = (
HyperparamBuilder()
.addHyperparam(gbt,gbt.numLeaves, DiscreteHyperParam([30, 40,70]))

)
searchSpace = paramBuilder.build()
randomSpace = RandomSpace(searchSpace)
bestModel = TuneHyperparameters(
evaluationMetric="precision",
models=mmlmodels,
numFolds=2,
numRuns=len(mmlmodels) * 1,
parallelism=1,
paramSpace=randomSpace.space(),
seed=0,
).fit(train_valid_sample_iteration)

print(bestModel.getBestModelInfo())
```

### 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
- [x] `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
- [X] `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