parameters = dict(
years_train=list(range(2010, 2014)),
years_test=[2014, 2015],
X_vars=['ice_conc', 'icethic_cea', 'tair', 'vosaline', 'radlw'],
y_var='thick_cr2smos',
bounds=[0, 400, 0, 400],
step=[2, 2])
reg_params = dict(model=Lasso(alpha=0.1, max_iter=1000), dx=5, dy=5, dt=5)
filters = dict(partial_pca=5)
logging.basicConfig(format='%(asctime)s - %(message)s', level=logging.INFO)
logging.getLogger('suds').setLevel(
logging.INFO) # set INFO level for all modules
#indices = np.load('/Users/drigo/ITMO/_disser/surrogate/data/ice_mask_idx.npy')
#indices = indices[26164:]
if 'average' in self.par:
self.average(self.par['average'])
logging.info('Data is loaded')
m = Main(parameters=parameters, reg_params=reg_params, filters=filters)
m.predict_area()
m.apply_mask()
#m.interpolate()
m.save()
del m
