def asd_multitasklasso():
model = MultiTaskLasso()
f = "/home/vandal.t/repos/pydownscale/pydownscale/test_data/testdata.pkl"
data = pickle.load(open(f, 'r'))
asdm = ASDMultitask(data, model, season='JJA')
asdm.train()
out = asdm.predict(test_set=False)
out.to_netcdf("test_data/mtl_test.nc")
def asd_multitasklasso():
model = MultiTaskLasso()
f = "/home/vandal.t/repos/pydownscale/pydownscale/test_data/testdata.pkl"
data = pickle.load(open(f, 'r'))
asdm = ASDMultitask(data, model, season='JJA')
asdm.train()
out = asdm.predict(test_set=False)
out.to_netcdf("test_data/mtl_test.nc")
def asd_mssl():
model = pMSSL(max_epochs=5, quiet=False, lambd=1e10, gamma=1e-10, walgo='multiprocessor',
num_proc=48, w_epochs=50, omega_epochs=50)
f = "/home/vandal.t/repos/pydownscale/pydownscale/test_data/testdata.pkl"
lf = '/gss_gpfs_scratch/vandal.t/experiments/DownscaleData/newengland_MS_420_8835.pkl'
data = pickle.load(open(lf, 'r'))
asdm = ASDMultitask(data, model, season='JJA', ytransform=preprocessing.StandardScaler())
asdm.train()
out = asdm.predict(test_set=False)
out.to_netcdf("test_data/ne_test_set.nc")
def asd_mssl():
model = pMSSL(max_epochs=5,
quiet=False,
lambd=1e10,
gamma=1e-10,
walgo='multiprocessor',
num_proc=48,
w_epochs=50,
omega_epochs=50)
f = "/home/vandal.t/repos/pydownscale/pydownscale/test_data/testdata.pkl"
lf = '/gss_gpfs_scratch/vandal.t/experiments/DownscaleData/newengland_MS_420_8835.pkl'
data = pickle.load(open(lf, 'r'))
asdm = ASDMultitask(data,
model,
season='JJA',
ytransform=preprocessing.StandardScaler())
asdm.train()
out = asdm.predict(test_set=False)
out.to_netcdf("test_data/ne_test_set.nc")