@recski
featurizing and training can be done separately, the table containing the featurized training and test data are stored in RegressionModel, which can be dumped and later reloaded.
There are also some new options for choosing the learning algorithm, these are imported from sklearn.
There is a new section ('ml') in the config files (see regression.cfg) for specifying if the featurized training data is to be dumped (and where), to load(from where), and which training algorithm to choose.
@recski featurizing and training can be done separately, the table containing the featurized training and test data are stored in RegressionModel, which can be dumped and later reloaded. There are also some new options for choosing the learning algorithm, these are imported from sklearn. There is a new section ('ml') in the config files (see regression.cfg) for specifying if the featurized training data is to be dumped (and where), to load(from where), and which training algorithm to choose.