def test_learner_api_load_into_existing_instance():
"""
Check that `Learner.load()` works as expected
"""
# create a LinearSVC instance and train it on some data
learner1 = Learner('LinearSVC')
(train_fs, test_fs) = make_classification_data(num_examples=200,
num_features=5,
use_feature_hashing=False,
non_negative=True)
learner1.train(train_fs, grid_search=False)
# now use `load()` to replace the existing instance with a
# different saved learner
other_model_file = join(
_my_dir, 'other',
'test_load_saved_model.{}.model'.format(sys.version_info[0]))
learner1.load(other_model_file)
# now load the saved model into another instance using the class method
# `from_file()`
learner2 = Learner.from_file(other_model_file)
# check that the two instances are now basically the same
eq_(learner1.model_type, learner2.model_type)
eq_(learner1.model_params, learner2.model_params)
eq_(learner1.model_kwargs, learner2.model_kwargs)
def test_learner_api_load_into_existing_instance():
"""
Check that `Learner.load()` works as expected
"""
# create a LinearSVC instance and train it on some data
learner1 = Learner('LinearSVC')
(train_fs,
test_fs) = make_classification_data(num_examples=200,
num_features=5,
use_feature_hashing=False,
non_negative=True)
learner1.train(train_fs, grid_search=False)
# now use `load()` to replace the existing instance with a
# different saved learner
other_model_file = join(_my_dir, 'other', 'test_load_saved_model.{}.model'.format(sys.version_info[0]))
learner1.load(other_model_file)
# now load the saved model into another instance using the class method
# `from_file()`
learner2 = Learner.from_file(other_model_file)
# check that the two instances are now basically the same
eq_(learner1.model_type, learner2.model_type)
eq_(learner1.model_params, learner2.model_params)
eq_(learner1.model_kwargs, learner2.model_kwargs)
