Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
The word 'initiaiton' should be spelled as 'initiation'. Moreover, in this context, the code's function is to set initial parameters or states for the model or dataset, so the term 'initialization' is more accurate.
you-n-g
commented
1 week ago
Description
Fix typo in documents.
Motivation and Context
The word 'initiaiton' should be spelled as 'initiation'. Moreover, in this context, the code's function is to set initial parameters or states for the model or dataset, so the term 'initialization' is more accurate.
'model initiaiton' or 'model initiation' -> 'model initialization' 'dateset' -> 'dataset'
How Has This Been Tested?
pytest qlib/tests/test_all_pipeline.pyunder upper directory ofqlib.Screenshots of Test Results (if appropriate):
Types of changes