def discretise_and_write_to_file(self):
ignore_missing = False
#duplicate code and not tested!!
if self.files is not None:
self.training_path, self.test_path, self.gold_path = [self.files] * 3
ignore_missing = True
training, attributes, klass, test, gold = self.get_instances(self.training_path, self.test_path, self.gold_path, ignore_missing)
self.log_common_params('Discretisation')
disc = Discretiser(training, attributes, klass, test, gold, cl.as_integers('Attribute indices', self.attributes_indices), cl.as_integers('Options', self.options))
getattr(disc, ALGORITHM_MAPPINGS[self.algorithm])()
files_written = self.write_to_file(self.get_suffix(), training, attributes, klass, test, gold, False)
self.log_created_files(files_written, 'The following files were created with discretised values...')
def discretise_and_write_to_file(self):
ignore_missing = False
#duplicate code and not tested!!
if self.files is not None:
self.training_path, self.test_path, self.gold_path = [self.files
] * 3
ignore_missing = True
training, attributes, klass, test, gold = self.get_instances(
self.training_path, self.test_path, self.gold_path, ignore_missing)
self.log_common_params('Discretisation')
disc = Discretiser(
training, attributes, klass, test, gold,
cl.as_integers('Attribute indices', self.attributes_indices),
cl.as_integers('Options', self.options))
getattr(disc, ALGORITHM_MAPPINGS[self.algorithm])()
files_written = self.write_to_file(self.get_suffix(), training,
attributes, klass, test, gold,
False)
self.log_created_files(
files_written,
'The following files were created with discretised values...')
def test_converts_an_array_into_integer_array(self):
returned = cl.as_integers('Foo', None)
self.assertEqual([], returned)
returned = cl.as_integers('Foo', '3,5, 7, 9')
self.assertEqual([3, 5, 7, 9], returned)
def test_converts_an_array_into_integer_array(self):
returned = cl.as_integers('Foo', None)
self.assertEqual([], returned)
returned = cl.as_integers('Foo', '3,5, 7, 9')
self.assertEqual([3, 5, 7, 9], returned)
