mlclouds.autoxval

Automatic cross validation of PHYGNN models predicting cloud types and properties

Classes

AutoXVal([sites, val_sites, data_files, ...])	Run cross validation by both varying the number of sites used for training, and the site used for validation.
TrainTest(data_files[, config, ...])	Train and test a model using a single dataset.
XVal([config])	Train a PHYGNN using one or more satellite datasets then validate against the NSRDB baseline data using another satellite dataset to predict cloud parameters.