topic Re: Can serverless environments not use SynapseML's LightGBM? in Machine Learning

Can serverless environments not use SynapseML's LightGBM?

liu — Wed, 26 Nov 2025 09:42:43 GMT

When I use LightGBM, I get the following error on the line below: 'str' object has no attribute 'getParam'.

Is this because serverless cannot run the JAR files that SynapseML depends on?

File /local_disk0/.ephemeral_nfs/envs/pythonEnv-b0d5f8ce-8426-443c-973e-3af363376fa4/lib/python3.12/site-packages/synapse/ml/core/serialize/java_params_patch.py:122, in _mml_make_java_param_pair(self, param, value) 120 sc = SparkContext._active_spark_context 121 param = self._resolveParam(param) --> 122 java_param = self._java_obj.getParam(param.name) 123 java_value = _mml_py2java(sc, value) 124 return java_param.w(java_value)

Re: Can serverless environments not use SynapseML's LightGBM?

liu — Wed, 26 Nov 2025 09:59:00 GMT

Sorry, I just found out while checking the official documentation that starting from November, dependency JAR files are supported.

I’ll give it a try and see how well it works.

If anyone has any insights, I would greatly appreciate your guidance.

Re: Can serverless environments not use SynapseML's LightGBM?

liu — Thu, 27 Nov 2025 09:06:24 GMT

Oh, it seems i misunderstood someting...

Still haven't found a solution.However, since the notebook environment can run the original LightGBM , I can use that for now.

If anyone has any suggestions or ideas, your guidance would be greatly appreciated.