def create_sample_weightings(setting):
"""
Add prediction and weightings to the sample instances
This assumes corpus instance files in de ./inst subdir and classifier
output in the ./clas subdir.
Fills the instance fields "pred_relation" and "pred_weight"
"""
weight(setting)
def exp(setting):
"""
perform alignment experiment
"""
exp_init(setting)
create_parts(setting)
extract(setting)
sample(setting)
classify(setting)
weight(setting)
match(setting)
merge(setting)
evaluate(setting)
exp_exit(setting)
def exp(setting):
"""
perform alignment experiment
"""
exp_init(setting)
create_parts(setting)
extract(setting)
sample(setting)
classify(setting)
weight(setting)
match(setting)
merge(setting)
evaluate(setting)
exp_exit(setting)
def test_weight_val(self):
self.st.develop = False
weight(self.st)
def test_weight_dev(self):
self.st.validate = False
weight(self.st)
def test_weight_val(self):
self.st.develop = False
weight(self.st)
def test_weight_dev(self):
self.st.validate = False
weight(self.st)
