def run(xls_file, value_file, itemset_str_lst, delimiter, alternative):
global readFile
import readFile
transaction_list, columnid2name = readFile.readFiles(
xls_file, value_file, delimiter)
max_lambda = maxLambda(transaction_list)
if alternative < 0:
global lamp
from lamp import reverseValue
transaction_list = reverseValue(transaction_list, "fisher")
func = FunctionOfX(transaction_list, max_lambda, abs(alternative))
colname2id_dict = readFile.colname2id(columnid2name)
itemset = set()
for i in itemset_str_lst:
item_id = colname2id_dict[i]
itemset.add(item_id + 1)
flag_transactions_id = []
for i in range(len(transaction_list)):
t = transaction_list[i]
if len(itemset & t.itemset) == len(itemset):
flag_transactions_id.append(i)
p_value, stat_value = func.calPValue(transaction_list,
flag_transactions_id)
n = len(transaction_list)
n1 = func.getN1()
sys.stdout.write("p-value: %s (N: %s, n1: %s, x: %s, a: %s)\n" %
(p_value, n, n1, len(flag_transactions_id), stat_value))
return (p_value, len(flag_transactions_id))
def run(xls_file, value_file, itemset_str_lst, delimiter, alternative):
global readFile
import readFile
transaction_list, columnid2name = readFile.readFiles(xls_file, value_file, delimiter)
max_lambda = maxLambda(transaction_list)
if alternative < 0:
global lamp
from lamp import reverseValue
transaction_list = reverseValue( transaction_list, "fisher" )
func = FunctionOfX(transaction_list, max_lambda, abs( alternative ) )
colname2id_dict = readFile.colname2id(columnid2name)
itemset = set()
for i in itemset_str_lst:
item_id = colname2id_dict[i]
itemset.add(item_id + 1)
flag_transactions_id = []
for i in xrange( len(transaction_list) ):
t = transaction_list[i]
if len( itemset & t.itemset ) == len(itemset):
flag_transactions_id.append( i )
p_value, stat_value = func.calPValue(transaction_list, flag_transactions_id)
n = len(transaction_list)
n1 = func.getN1()
sys.stdout.write("p-value: %s (N: %s, n1: %s, x: %s, a: %s)\n"
% (p_value, n, n1, len(flag_transactions_id), stat_value))
return (p_value, len(flag_transactions_id))
def run(xls_file, value_file, itemset_str_lst, delimiter, alternative):
global readFile
import readFile
transaction_list, columnid2name = readFile.readFiles(
xls_file, value_file, delimiter)
if alternative < 0:
global lamp
from lamp import reverseValue
transaction_list = reverseValue(transaction_list, "u_test")
func = FunctionOfX(transaction_list, alternative)
colname2id_dict = readFile.colname2id(columnid2name)
itemset = set()
for i in itemset_str_lst:
item_id = colname2id_dict[i]
itemset.add(item_id + 1)
flag_transactions_id = []
for i in range(len(transaction_list)):
t = transaction_list[i]
if len(itemset & t.itemset) == len(itemset):
flag_transactions_id.append(i)
p_value, stat_score = func.calPValue(transaction_list,
flag_transactions_id)
# print i
# print item_id
# print columnid2name[item_id]
# p, stat_score = func.calPValue(transaction_list, itemset)
n = len(transaction_list)
sys.stdout.write("p-value: %g (N: %s, x: %s, z-score: %f)\n" \
% (p_value, n, len(flag_transactions_id), stat_score))
return (p_value, len(flag_transactions_id))
def run(xls_file, value_file, itemset_str_lst, delimiter):
transaction_list, columnid2name, lcm2transaction_id = readFile.readFiles(xls_file, value_file, delimiter)
# transaction_list, columnid2name = readFile.readFiles(xls_file, value_file)
func = FunctionOfX(transaction_list)
colname2id_dict = readFile.colname2id(columnid2name)
itemset = set()
for i in itemset_str_lst:
item_id = colname2id_dict[i]
itemset.add(item_id + 1)
flag_transactions_id = []
for i in xrange( len(transaction_list) ):
t = transaction_list[i]
if len( itemset & t.itemset ) == len(itemset):
flag_transactions_id.append( i )
p_value, stat_score = func.calPValue(transaction_list, flag_transactions_id)
# print i
# print item_id
# print columnid2name[item_id]
# p, stat_score = func.calPValue(transaction_list, itemset)
n = len(transaction_list)
sys.stdout.write("p-value: %g (N: %s, x: %s, z-score: %f)\n" \
% (p_value, n, len(flag_transactions_id), stat_score))
return (p_value, len(flag_transactions_id))
def run(xls_file, value_file, itemset_str_lst, delimiter, alternative):
global readFile
import readFile
transaction_list, columnid2name = readFile.readFiles(xls_file, value_file, delimiter)
if alternative < 0:
global lamp
from lamp import reverseValue
transaction_list = reverseValue(transaction_list, "u_test")
func = FunctionOfX(transaction_list, alternative)
colname2id_dict = readFile.colname2id(columnid2name)
itemset = set()
for i in itemset_str_lst:
item_id = colname2id_dict[i]
itemset.add(item_id + 1)
flag_transactions_id = []
for i in xrange(len(transaction_list)):
t = transaction_list[i]
if len(itemset & t.itemset) == len(itemset):
flag_transactions_id.append(i)
p_value, stat_score = func.calPValue(transaction_list, flag_transactions_id)
# print i
# print item_id
# print columnid2name[item_id]
# p, stat_score = func.calPValue(transaction_list, itemset)
n = len(transaction_list)
sys.stdout.write("p-value: %g (N: %s, x: %s, z-score: %f)\n" % (p_value, n, len(flag_transactions_id), stat_score))
return (p_value, len(flag_transactions_id))
def run(xls_file, value_file, itemset_str_lst, delimiter):
transaction_list, columnid2name, lcm2transaction_id = readFile.readFiles(
xls_file, value_file, delimiter)
# transaction_list, columnid2name = readFile.readFiles(xls_file, value_file)
func = FunctionOfX(transaction_list)
colname2id_dict = readFile.colname2id(columnid2name)
itemset = set()
for i in itemset_str_lst:
item_id = colname2id_dict[i]
itemset.add(item_id + 1)
flag_transactions_id = []
for i in xrange(len(transaction_list)):
t = transaction_list[i]
if len(itemset & t.itemset) == len(itemset):
flag_transactions_id.append(i)
p_value, stat_score = func.calPValue(transaction_list,
flag_transactions_id)
# print i
# print item_id
# print columnid2name[item_id]
# p, stat_score = func.calPValue(transaction_list, itemset)
n = len(transaction_list)
sys.stdout.write("p-value: %g (N: %s, x: %s, z-score: %f)\n" \
% (p_value, n, len(flag_transactions_id), stat_score))
return (p_value, len(flag_transactions_id))
def run(xls_file, value_file, itemset_str_lst, delimiter):
transaction_list, columnid2name, lcm2transaction_id = readFile.readFiles(xls_file, value_file, delimiter)
max_lambda = maxLambda(transaction_list)
func = FunctionOfX(transaction_list, max_lambda)
colname2id_dict = readFile.colname2id(columnid2name)
itemset = set()
for i in itemset_str_lst:
item_id = colname2id_dict[i]
itemset.add(item_id + 1)
flag_transactions_id = []
for i in xrange( len(transaction_list) ):
t = transaction_list[i]
if len( itemset & t.itemset ) == len(itemset):
flag_transactions_id.append( i )
p_value, stat_value = func.calPValue(transaction_list, flag_transactions_id)
n = len(transaction_list)
n1 = func.getN1()
sys.stdout.write("p-value: %s (N: %s, n1: %s, x: %s, a: %s)\n"
% (p_value, n, n1, len(flag_transactions_id), stat_value))
return (p_value, len(flag_transactions_id))
def run(xls_file, value_file, itemset_str_lst, delimiter):
transaction_list, columnid2name, lcm2transaction_id = readFile.readFiles(
xls_file, value_file, delimiter)
max_lambda = maxLambda(transaction_list)
func = FunctionOfX(transaction_list, max_lambda)
colname2id_dict = readFile.colname2id(columnid2name)
itemset = set()
for i in itemset_str_lst:
item_id = colname2id_dict[i]
itemset.add(item_id + 1)
flag_transactions_id = []
for i in xrange(len(transaction_list)):
t = transaction_list[i]
if len(itemset & t.itemset) == len(itemset):
flag_transactions_id.append(i)
p_value, stat_value = func.calPValue(transaction_list,
flag_transactions_id)
n = len(transaction_list)
n1 = func.getN1()
sys.stdout.write("p-value: %s (N: %s, n1: %s, x: %s, a: %s)\n" %
(p_value, n, n1, len(flag_transactions_id), stat_value))
return (p_value, len(flag_transactions_id))
