def launch():
DATA = read_data_sc2('../data/sequences-TZ-45.txt')[:5000]
DATA = reduce_k_length(10, DATA)
results = exhaustive(DATA, '1', top_k=10, enable_i=True)
print_results(results)
def display_info(stage, compute_count, sorted_patterns, begin, data, top_k):
print("The algorithm is at stage {} and did {}".format(
stage, compute_count))
print("The algorithm took :{}".format(datetime.datetime.utcnow() - begin))
print("We print the best patterns")
patterns = sorted_patterns.get_top_k_non_redundant(data, top_k)
print_results(patterns)
def launch():
# DATA = read_data_sc2('../data/sequences-TZ-45.txt')[:5000]
DATA = read_data(
pathlib.Path(__file__).parent.parent / 'data/promoters.data')
# DATA = read_data('../data/splice.data')
# DATA = read_data_kosarak('../data/easy.data')
# DATA = read_data_kosarak('../data/skating.data')
results = beam_search(DATA,
'+',
time_budget=100000000,
enable_i=False,
iterations_limit=100)
print_results(results)
def launch():
# DATA = read_data_sc2('../data/sequences-TZ-45.txt')[:5000]
# DATA = read_data_kosarak('../data/blocks.data')
# DATA = read_data_kosarak('../data/skating.data')
DATA = read_data(
pathlib.Path(__file__).parent.parent / 'data/promoters.data')
# DATA = read_data_kosarak('../data/aslbu.data')
# DATA = read_jmlr('machin', pathlib.Path(__file__).parent.parent / 'data/jmlr/jmlr')
results = misere(DATA,
'+',
time_budget=2**30,
iterations_limit=10,
quality_measure='WRAcc')
print_results(results)
def launch():
DATA = read_data_sc2('../data/sequences-TZ-45.txt')[:5000]
#DATA = reduce_k_length(10, DATA)
# DATA = read_data_kosarak('../data/blocks.data')
# DATA = read_data_kosarak('../data/skating.data')
# DATA = read_data_kosarak('../data/context.data')
# DATA = read_data(pathlib.Path(__file__).parent.parent / 'data/promoters.data')
# DATA = read_jmlr('machin', pathlib.Path(__file__).parent.parent / 'data/jmlr/jmlr')
#ITEMS = extract_items(DATA)
#ITEMS, items_to_encoding, encoding_to_items = encode_items(ITEMS)
#DATA = encode_data(DATA, items_to_encoding)
results = seq_scout(DATA,
'1',
time_budget=60,
top_k=5,
enable_i=False,
vertical=False,
iterations_limit=10000)
#results = seq_scout_api(DATA, '+', 10, 5)
print_results(results)