[BUG] Fail to run the Python built from source

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### SynapseML version

'0.0.0-1659-1b5df703-SNAPSHOT'

### System information

- **Language version** (e.g. python 3.8, scala 2.12): Python 3.11, Scala version 2.12.17
- **Spark Version** (e.g. 3.2.3): 3.4.1
- **Spark Platform** (e.g. Synapse, Databricks): PySpark

### Describe the problem

When following https://microsoft.github.io/SynapseML/docs/Reference/Developer%20Setup/ to build SynapseML from source, "'JavaPackage' object is not callable" is reported, and if manually copy jars generated in target/scala-2.12 to site-packages/pyspark/jars, "py4j.protocol.Py4JNetworkError: Answer from Java side is empty" would be reported.

### Code to reproduce issue

```python
from synapse.ml.lightgbm import *
LightGBMRegressor()
```

### Other info / logs

```python-traceback
Exception in thread "Thread-26" java.lang.NoClassDefFoundError: spray/json/JsonFormat
at java.base/java.lang.Class.forName0(Native Method)
at java.base/java.lang.Class.forName(Class.java:398)
at py4j.reflection.CurrentThreadClassLoadingStrategy.classForName(CurrentThreadClassLoadingStrategy.java:40)
at py4j.reflection.ReflectionUtil.classForName(ReflectionUtil.java:51)
at py4j.reflection.TypeUtil.forName(TypeUtil.java:243)
at py4j.commands.ReflectionCommand.getUnknownMember(ReflectionCommand.java:175)
at py4j.commands.ReflectionCommand.execute(ReflectionCommand.java:87)
at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
at java.base/java.lang.Thread.run(Thread.java:829)
Caused by: java.lang.ClassNotFoundException: spray.json.JsonFormat
at java.base/jdk.internal.loader.BuiltinClassLoader.loadClass(BuiltinClassLoader.java:581)
at java.base/jdk.internal.loader.ClassLoaders$AppClassLoader.loadClass(ClassLoaders.java:178)
at java.base/java.lang.ClassLoader.loadClass(ClassLoader.java:527)
... 10 more
ERROR:root:Exception while sending command.
Traceback (most recent call last):
File "/home/luyanaa/miniforge3/envs/synapseml/lib/python3.11/site-packages/pyspark/python/lib/py4j-0.10.9.7-src.zip/py4j/clientserver.py", line 516, in send_command
raise Py4JNetworkError("Answer from Java side is empty")
py4j.protocol.Py4JNetworkError: Answer from Java side is empty

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/home/luyanaa/miniforge3/envs/synapseml/lib/python3.11/site-packages/pyspark/python/lib/py4j-0.10.9.7-src.zip/py4j/java_gateway.py", line 1038, in send_command
response = connection.send_command(command)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/luyanaa/miniforge3/envs/synapseml/lib/python3.11/site-packages/pyspark/python/lib/py4j-0.10.9.7-src.zip/py4j/clientserver.py", line 539, in send_command
raise Py4JNetworkError(
py4j.protocol.Py4JNetworkError: Error while sending or receiving
Traceback (most recent call last):
File "", line 1, in
File "/home/luyanaa/miniforge3/envs/synapseml/lib/python3.11/site-packages/pyspark/__init__.py", line 139, in wrapper
return func(self, **kwargs)
^^^^^^^^^^^^^^^^^^^^
File "/home/luyanaa/miniforge3/envs/synapseml/lib/python3.11/site-packages/synapse/ml/featurize/text/TextFeaturizer.py", line 106, in __init__
self._java_obj = self._new_java_obj("com.microsoft.azure.synapse.ml.featurize.text.TextFeaturizer", self.uid)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/luyanaa/miniforge3/envs/synapseml/lib/python3.11/site-packages/pyspark/ml/wrapper.py", line 84, in _new_java_obj
java_obj = getattr(java_obj, name)
^^^^^^^^^^^^^^^^^^^^^^^
File "/home/luyanaa/miniforge3/envs/synapseml/lib/python3.11/site-packages/pyspark/python/lib/py4j-0.10.9.7-src.zip/py4j/java_gateway.py", line 1664, in __getattr__
py4j.protocol.Py4JError: com.microsoft.azure.synapse.ml.featurize.text.TextFeaturizer does not exist in the JVM
```

### What component(s) does this bug affect?

- [ ] `area/cognitive`: Cognitive project
- [x] `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

Follow the Developer Setup instructions and reproduce the failure with Python 3.11, Spark 3.4.1, and the LightGBM example. Inspect the source-built jars under target/scala-2.12 and the PySpark jar loading path, focusing on the missing spray/json dependency shown in the logs. Done means the documented source-build setup can instantiate the reported Python API without JavaPackage or Py4J errors.

Written by the indexing model from the issue text.