9 Automated Machine Learning

Use the automated algorithm selection, feature selection, and hyperparameter tuning of Automated Machine Learning to accelerate the machine learning modeling process.

Automated Machine Learning in OML4Py is described in the following topics:

• About Automated Machine Learning
  Automated Machine Learning (AutoML) provides built-in data science expertise about data analytics and modeling that you can employ to build machine learning models.
• Algorithm Selection
  The oml.automl.AlgorithmSelection class uses the characteristics of the data set and the task to rank algorithms from the set of supported Oracle Machine Learning algorithms.
• Feature Selection
  The oml.automl.FeatureSelection class identifies the most relevant feature subsets for a training data set and an Oracle Machine Learning algorithm.
• Model Tuning
  The oml.automl.ModelTuning class tunes the hyperparameters for the specified classification or regression algorithm and training data.
• Model Selection
  The oml.automl.ModelSelection class automatically selects an Oracle Machine Learning algorithm according to the selected score metric and then tunes that algorithm.