Hierarchy Optimization Method for Machine Learning

A method, comprising:

• receiving, by a service provider system comprising one or more hardware processors, a set of training data;
• and
• selecting a first machine learning platform from a set of machine learning platforms based on a first optimization function that metrics past machine learning platforms used for training on the set of training data;
• selecting a first algorithm from a set of algorithms supported by the first machine learning platform based on a second optimization function that metrics past algorithms used for training on the set of training data;
• determining one or more hyperparameters from a set of hyperparameters supported by the first algorithm based on a third optimization function that metrics past combinations of hyperparameters from the set of hyperparameters used for training on the set of training data;
• and
• training a machine learning model on the set of training data using the first machine learning platform, the first algorithm, and the one or more hyperparameters.

A non-transitory computer readable medium storing computer-executable instructions that in response to execution by one or more hardware processors, causes a system to perform operations comprising:

• receiving a set of training data;
• and
• selecting a first machine learning platform from a set of machine learning platforms based on a first optimization function that metrics past machine learning platforms used for training on the set of training data;
• selecting a first algorithm from a set of algorithms supported by the first machine learning platform based on a second optimization function that metrics past algorithms used for training on the set of training data;
• determining one or more hyperparameters from a set of hyperparameters supported by the first algorithm based on a third optimization function that metrics past combinations of hyperparameters from the set of hyperparameters used for training on the set of training data;
• and
• training a machine learning model on the set of training data using the first machine learning platform, the first algorithm, and the one or more hyperparameters.