def main():
if len(sys.argv) != 7:
utils.error_exit(" ".join(
("USAGE: {}".format(os.path.basename(sys.argv[0])),
"use_additional_knowledge={{0|1}} delta min_freq gap dataset",
"results_filename\n")))
dataset = sys.argv[5]
res_filename = os.path.expanduser(sys.argv[6])
if not os.path.isfile(res_filename):
utils.error_exit(
"{} does not exist, or is not a file\n".format(res_filename))
try:
use_additional_knowledge = int(sys.argv[1])
except ValueError:
utils.error_exit("{} is not a number\n".format(sys.argv[1]))
try:
delta = float(sys.argv[2])
except ValueError:
utils.error_exit("{} is not a number\n".format(sys.argv[2]))
try:
min_freq = float(sys.argv[3])
except ValueError:
utils.error_exit("{} is not a number\n".format(sys.argv[3]))
try:
gap = float(sys.argv[4])
except ValueError:
utils.error_exit("{} is not a number\n".format(sys.argv[4]))
ds_stats = getDatasetInfo.get_ds_stats(dataset)
(trueFIs, stats) = get_trueFIs(ds_stats, res_filename, min_freq, delta,
gap, use_additional_knowledge)
utils.print_itemsets(trueFIs, ds_stats['size'])
sys.stderr.write(",".join(
("res_file={}".format(os.path.basename(res_filename)),
"use_add_knowl={}".format(use_additional_knowledge),
"e1={},e2={}".format(stats['epsilon_1'],
stats['epsilon_2']), "d={}".format(delta),
"min_freq={},trueFIs={}\n".format(min_freq, len(trueFIs)))))
sys.stderr.write(",".join(
("base_set={}".format(stats['base_set']),
"maximal_itemsets={}".format(stats['maximal_itemsets']),
"negbor={}".format(stats['negative_border']),
"emp_vc_dim={}".format(stats['emp_vc_dim']),
"not_emp_vc_dim={}\n".format(stats['not_emp_vc_dim']))))
sys.stderr.write(",".join(
("res_file,add_knowl,e1,e2,delta,min_freq,trueFIs",
"base_set,maximal_itemsets,negative_border,emp_vc_dim",
"not_emp_vc_dim\n")))
sys.stderr.write("{}\n".format(",".join(
(str(i)
for i in (os.path.basename(res_filename), use_additional_knowledge,
stats['epsilon_1'], stats['epsilon_2'], delta, min_freq,
len(trueFIs), stats['base_set'], stats['maximal_itemsets'],
stats['negative_border'], stats['emp_vc_dim'],
stats['not_emp_vc_dim'])))))
def main():
# Verify arguments
if len(sys.argv) != 7:
utils.error_exit(" ".join(
("Usage: {}".format(os.path.basename(sys.argv[0])),
"use_additional_knowledge={{0|1}} delta min_freq mode={{c|e}}",
"dataset results_filename\n")))
dataset = sys.argv[5]
res_filename = sys.argv[6]
if not os.path.isfile(res_filename):
utils.error_exit(
"{} does not exist, or is not a file\n".format(res_filename))
pvalue_mode = sys.argv[4].upper()
if pvalue_mode != "C" and pvalue_mode != "E" and pvalue_mode != "W":
utils.error_exit(
"p-value mode must be 'c', 'e', or 'w'. You passed {}\n".format(
pvalue_mode))
try:
use_additional_knowledge = int(sys.argv[1])
except ValueError:
utils.error_exit("{} is not a number\n".format(sys.argv[1]))
try:
delta = float(sys.argv[2])
except ValueError:
utils.error_exit("{} is not a number\n".format(sys.argv[2]))
try:
min_freq = float(sys.argv[3])
except ValueError:
utils.error_exit("{} is not a number\n".format(sys.argv[3]))
ds_stats = getDatasetInfo.get_ds_stats(dataset)
(trueFIs, stats) = get_trueFIs(ds_stats, res_filename, min_freq, delta,
pvalue_mode, use_additional_knowledge)
utils.print_itemsets(trueFIs, ds_stats['size'])
sys.stderr.write(",".join(
("res_file={}".format(os.path.basename(res_filename)),
"use_add_knowl={}".format(use_additional_knowledge),
"pvalue_mode={}".format(pvalue_mode), "d={}".format(delta),
"min_freq={}".format(min_freq), "trueFIs={}\n".format(len(trueFIs)))))
sys.stderr.write(",".join(
("union_bound_factor={}".format(stats['union_bound_factor']),
"critical_value={}".format(stats['critical_value']),
"removed={}".format(stats['removed']),
"epsilon={}\n".format(stats['epsilon']))))
sys.stderr.write(",".join(
("res_file,add_knowl,pvalue_mode,delta,min_freq,trueFIs",
"union_bound_factor,critical_value,removed,epsilon\n")))
sys.stderr.write("{}\n".format(",".join(
(str(i)
for i in (os.path.basename(res_filename), use_additional_knowledge,
pvalue_mode, delta, min_freq, len(trueFIs),
stats['union_bound_factor'], stats['critical_value'],
stats['removed'], stats['epsilon'])))))
def main():
if len(sys.argv) != 4:
utils.error_exit("Usage: {} use_additional_knowledge={{0|1}} delta dataset\n".format(sys.argv[0]))
try:
use_additional_knowledge = int(sys.argv[1])
except ValueError:
utils.error_exit("{} is not an integer\n".format(sys.argv[1]))
try:
delta = float(sys.argv[2])
except ValueError:
utils.error_exit("{} is not an integer\n".format(sys.argv[2]))
ds_stats = getDatasetInfo.get_ds_stats(sys.argv[3])
(eps_vc_dim, eps_emp_vc_dim, returned) = epsilon_dataset(delta, ds_stats, use_additional_knowledge)
print("{} {}".format(eps_vc_dim, eps_emp_vc_dim))
print("{}\t{}".format(min(eps_vc_dim, eps_emp_vc_dim), returned))
def main():
if len(sys.argv) != 4:
utils.error_exit(
"Usage: {} use_additional_knowledge={{0|1}} delta dataset\n".
format(sys.argv[0]))
try:
use_additional_knowledge = int(sys.argv[1])
except ValueError:
utils.error_exit("{} is not an integer\n".format(sys.argv[1]))
try:
delta = float(sys.argv[2])
except ValueError:
utils.error_exit("{} is not an integer\n".format(sys.argv[2]))
ds_stats = getDatasetInfo.get_ds_stats(sys.argv[3])
(eps_vc_dim, eps_emp_vc_dim,
returned) = epsilon_dataset(delta, ds_stats, use_additional_knowledge)
print("{} {}".format(eps_vc_dim, eps_emp_vc_dim))
print("{}\t{}".format(min(eps_vc_dim, eps_emp_vc_dim), returned))
def main():
# Verify arguments
if len(sys.argv) != 7:
utils.error_exit(
" ".join((
"Usage: {}".format(os.path.basename(sys.argv[0])),
"use_additional_knowledge={{0|1}} delta min_freq mode={{c|e}}",
"dataset results_filename\n")))
dataset = sys.argv[5]
res_filename = sys.argv[6]
if not os.path.isfile(res_filename):
utils.error_exit(
"{} does not exist, or is not a file\n".format(res_filename))
pvalue_mode = sys.argv[4].upper()
if pvalue_mode != "C" and pvalue_mode != "E" and pvalue_mode != "W":
utils.error_exit(
"p-value mode must be 'c', 'e', or 'w'. You passed {}\n".format(
pvalue_mode))
try:
use_additional_knowledge = int(sys.argv[1])
except ValueError:
utils.error_exit("{} is not a number\n".format(sys.argv[1]))
try:
delta = float(sys.argv[2])
except ValueError:
utils.error_exit("{} is not a number\n".format(sys.argv[2]))
try:
min_freq = float(sys.argv[3])
except ValueError:
utils.error_exit("{} is not a number\n".format(sys.argv[3]))
ds_stats = getDatasetInfo.get_ds_stats(dataset)
(trueFIs, stats) = get_trueFIs(ds_stats, res_filename, min_freq, delta,
pvalue_mode, use_additional_knowledge)
utils.print_itemsets(trueFIs, ds_stats['size'])
sys.stderr.write(
",".join(
("res_file={}".format(os.path.basename(res_filename)),
"use_add_knowl={}".format(use_additional_knowledge),
"pvalue_mode={}".format(pvalue_mode), "d={}".format(delta),
"min_freq={}".format(min_freq),
"trueFIs={}\n".format(len(trueFIs)))))
sys.stderr.write(
",".join(
("union_bound_factor={}".format(stats['union_bound_factor']),
"critical_value={}".format(stats['critical_value']),
"removed={}".format(stats['removed']),
"epsilon={}\n".format(stats['epsilon']))))
sys.stderr.write(
",".join(
("res_file,add_knowl,pvalue_mode,delta,min_freq,trueFIs",
"union_bound_factor,critical_value,removed,epsilon\n")))
sys.stderr.write("{}\n".format(
",".join(
(str(i) for i in (os.path.basename(res_filename),
use_additional_knowledge, pvalue_mode, delta, min_freq,
len(trueFIs), stats['union_bound_factor'],
stats['critical_value'], stats['removed'], stats['epsilon'])))))
def main():
if len(sys.argv) != 7:
utils.error_exit(
" ".join(
("USAGE: {}".format(os.path.basename(sys.argv[0])),
"use_additional_knowledge={{0|1}} delta min_freq gap dataset",
"results_filename\n")))
dataset = sys.argv[5]
res_filename = os.path.expanduser(sys.argv[6])
if not os.path.isfile(res_filename):
utils.error_exit(
"{} does not exist, or is not a file\n".format(res_filename))
try:
use_additional_knowledge = int(sys.argv[1])
except ValueError:
utils.error_exit("{} is not a number\n".format(sys.argv[1]))
try:
delta = float(sys.argv[2])
except ValueError:
utils.error_exit("{} is not a number\n".format(sys.argv[2]))
try:
min_freq = float(sys.argv[3])
except ValueError:
utils.error_exit("{} is not a number\n".format(sys.argv[3]))
try:
gap = float(sys.argv[4])
except ValueError:
utils.error_exit("{} is not a number\n".format(sys.argv[4]))
ds_stats = getDatasetInfo.get_ds_stats(dataset)
(trueFIs, stats) = get_trueFIs(ds_stats, res_filename, min_freq,
delta, gap, use_additional_knowledge)
utils.print_itemsets(trueFIs, ds_stats['size'])
sys.stderr.write(
",".join(
("res_file={}".format(os.path.basename(res_filename)),
"use_add_knowl={}".format(use_additional_knowledge),
"e1={},e2={}".format(stats['epsilon_1'], stats['epsilon_2']),
"d={}".format(delta),
"min_freq={},trueFIs={}\n".format(min_freq, len(trueFIs)))))
sys.stderr.write(
",".join(
("base_set={}".format(stats['base_set']),
"maximal_itemsets={}".format(stats['maximal_itemsets']),
"negbor={}".format(stats['negative_border']),
"emp_vc_dim={}".format(stats['emp_vc_dim']),
"not_emp_vc_dim={}\n".format(stats['not_emp_vc_dim']))))
sys.stderr.write(
",".join(
("res_file,add_knowl,e1,e2,delta,min_freq,trueFIs",
"base_set,maximal_itemsets,negative_border,emp_vc_dim",
"not_emp_vc_dim\n")))
sys.stderr.write("{}\n".format(
",".join((str(i) for i in (
os.path.basename(res_filename), use_additional_knowledge,
stats['epsilon_1'], stats['epsilon_2'], delta,
min_freq, len(trueFIs), stats['base_set'],
stats['maximal_itemsets'], stats['negative_border'],
stats['emp_vc_dim'], stats['not_emp_vc_dim'])))))
