def make_single_file_featureset_data():
"""
Write a training file and a test file for tests that check whether
specifying train_file and test_file actually works.
"""
train_fs, test_fs = make_classification_data(num_examples=600,
train_test_ratio=0.8,
num_labels=2,
num_features=3,
non_negative=False)
# Write training feature set to a file
train_path = join(_my_dir, 'train', 'train_single_file.jsonlines')
writer = NDJWriter(train_path, train_fs)
writer.write()
# Write test feature set to a file
test_path = join(_my_dir, 'test', 'test_single_file.jsonlines')
writer = NDJWriter(test_path, test_fs)
writer.write()
# Also write another test feature set that has fewer features than the training set
test_fs.filter(features=['f01', 'f02'])
test_path = join(_my_dir, 'test', 'test_single_file_subset.jsonlines')
writer = NDJWriter(test_path, test_fs)
writer.write()
def make_single_file_featureset_data():
"""
Write a training file and a test file for tests that check whether
specifying train_file and test_file actually works.
"""
train_fs, test_fs = make_classification_data(num_examples=600,
train_test_ratio=0.8,
num_labels=2,
num_features=3,
non_negative=False)
# Write training feature set to a file
train_path = join(_my_dir, 'train', 'train_single_file.jsonlines')
writer = NDJWriter(train_path, train_fs)
writer.write()
# Write test feature set to a file
test_path = join(_my_dir, 'test', 'test_single_file.jsonlines')
writer = NDJWriter(test_path, test_fs)
writer.write()