twentynews_home = '../datasets/20news'
sraa_home = '../datasets/SRAA'
reuters_home = '../datasets/Reuters21578'
rperf = Result([
'dataset', 'task', 'method', 'acc', 'pivot_t', 'dci_t', 'svm_t', 'test_t'
])
for source, target, task, dataset in \
Topic_task_generator(reuters_home=reuters_home, sraa_home=sraa_home, twenty_home=twentynews_home):
s_pivots, t_pivots, pivot_time = pivot_selection_timed(npivots,
source.X,
source.y,
source.U,
target.U,
source.V,
target.V,
phi=1,
cross=True,
show=min(
10, npivots))
dci = DCI(dcf=dcf, unify=True, post='normal')
acc, dci_time, svm_time, test_time = DCIinduction(source,
target,
s_pivots,
t_pivots,
dci,
optimize=True)
rperf.add(dataset=dataset,
optimize = True
dataset_home = '../datasets/Webis-CLS-10'
rperf = Result([
'dataset', 'task', 'method', 'acc', 'pivot_t', 'dci_t', 'svm_t', 'test_t'
])
for source, target, oracle, taskname in WebisCLS10_crossdomain_crosslingual_task_generator(
os.path.abspath(dataset_home)):
s_pivots, t_pivots, pivot_time = pivot_selection_timed(npivots,
source.X,
source.y,
source.U,
target.U,
source.V,
target.V,
oracle=oracle,
phi=30,
show=min(
10, npivots),
cross=True)
dci = DCI(dcf=dcf, unify=True, post='normal')
acc, dci_time, svm_time, test_time = DCIinduction(source,
target,
s_pivots,
t_pivots,
dci,
optimize=optimize)
rperf.add(dataset='Webis-CLS-10',