lightgbm-transform/azureml

AzureML example

In the doc, user could learn how to use lightgbm transformation in azure machine learning. The example describes a pipeline containing training for lambdarank objective, inference and evaluation using Azure ML Component SDK.

Steps

• Run command pip install -r requirements.txt and install the dependencies of submission.
• Download config.json of your azure ml workspace and put it under azureml folder.
• Run command python run.py.
• Click the shown experiment link and check in your workspace.