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autogen/test/spark
Chi Wang 3e7aac6e8b
unify auto_reply; bug fix in UserProxyAgent; reorg agent hierarchy (#1142) 		3 years ago
..
__init__.py Add supporting using Spark as the backend of parallel training (#846) 3 years ago
custom_mylearner.py Extract task class from automl (#857) 3 years ago
mylearner.py Add supporting using Spark as the backend of parallel training (#846) 3 years ago
test_0sparkml.py Enhance Integration with Spark (#1097) 3 years ago
test_automl.py set black with 120 line length (#975) 3 years ago
test_ensemble.py Add supporting using Spark as the backend of parallel training (#846) 3 years ago
test_exceptions.py unify auto_reply; bug fix in UserProxyAgent; reorg agent hierarchy (#1142) 3 years ago
test_multiclass.py set black with 120 line length (#975) 3 years ago
test_notebook.py set black with 120 line length (#975) 3 years ago
test_overtime.py set black with 120 line length (#975) 3 years ago
test_performance.py unify auto_reply; bug fix in UserProxyAgent; reorg agent hierarchy (#1142) 3 years ago
test_tune.py set black with 120 line length (#975) 3 years ago
test_utils.py Fix PULL_REQUEST_TEMPLATE and improve test by removing unnecessary environment variable (#1043) 3 years ago
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This is a mirror of AutoGen from GitHub. AutoGen is a framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks.

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