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ffm-baseline
Commits
b1a16a16
Commit
b1a16a16
authored
Feb 19, 2019
by
王志伟
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数据指标波动假设检验统计
parent
88b38c66
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hypothesis_test.py
eda/recommended_indexs/hypothesis_test.py
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eda/recommended_indexs/hypothesis_test.py
View file @
b1a16a16
...
@@ -74,11 +74,11 @@ y_ctcrv_old_temp=DATA_fixed("diary_meigou_oldUser","diary_exp_oldUser","CT_CVR_o
...
@@ -74,11 +74,11 @@ y_ctcrv_old_temp=DATA_fixed("diary_meigou_oldUser","diary_exp_oldUser","CT_CVR_o
y_ctcrv_old
=
[
float
(
str
(
Decimal
(
y_ctcrv_old_temp
[
i
][
0
])
.
quantize
(
Decimal
(
'0.0000'
))))
for
i
in
range
(
len
(
y_ctcrv_old_temp
))]
y_ctcrv_old
=
[
float
(
str
(
Decimal
(
y_ctcrv_old_temp
[
i
][
0
])
.
quantize
(
Decimal
(
'0.0000'
))))
for
i
in
range
(
len
(
y_ctcrv_old_temp
))]
#
#
# #新用户ctr(page_view)
# #新用户ctr(page_view)
x_ctr_new_temp
=
DATA_recently
(
"clk_count_newUser_all"
,
"imp_count_newUser_all"
,
"ctr_new"
,
"bug_Recommendation_strategy_newUser"
,
ten_days
)
#
x_ctr_new_temp=DATA_recently("clk_count_newUser_all","imp_count_newUser_all","ctr_new","bug_Recommendation_strategy_newUser",ten_days)
x_ctr_new
=
[
float
(
str
(
Decimal
(
x_ctr_new_temp
[
i
][
0
])
.
quantize
(
Decimal
(
'0.0000'
))))
for
i
in
range
(
len
(
x_ctr_new_temp
))]
#
x_ctr_new=[float(str(Decimal(x_ctr_new_temp[i][0]).quantize(Decimal('0.0000')))) for i in range(len(x_ctr_new_temp))]
y_ctr_new_temp
=
DATA_fixed
(
"clk_count_newUser_all"
,
"imp_count_newUser_all"
,
"ctr_new"
,
"bug_Recommendation_strategy_newUser"
)
#
y_ctr_new_temp=DATA_fixed("clk_count_newUser_all","imp_count_newUser_all","ctr_new","bug_Recommendation_strategy_newUser")
y_ctr_new
=
[
float
(
str
(
Decimal
(
y_ctr_new_temp
[
i
][
0
])
.
quantize
(
Decimal
(
'0.0000'
))))
for
i
in
range
(
len
(
y_ctr_new_temp
))]
#
y_ctr_new=[float(str(Decimal(y_ctr_new_temp[i][0]).quantize(Decimal('0.0000')))) for i in range(len(y_ctr_new_temp))]
#
#
#
# # #老用户ctr(page_view)
# # #老用户ctr(page_view)
# x_ctr_old_temp=DATA_recently("clk_count_oldUser_all","imp_count_oldUser_all","ctr_old","bug_Recommendation_strategy_temp",ten_days)
# x_ctr_old_temp=DATA_recently("clk_count_oldUser_all","imp_count_oldUser_all","ctr_old","bug_Recommendation_strategy_temp",ten_days)
# x_ctr_old=[float(str(Decimal(x_ctr_old_temp[i][0]).quantize(Decimal('0.0000')))) for i in range(len(x_ctr_old_temp))]
# x_ctr_old=[float(str(Decimal(x_ctr_old_temp[i][0]).quantize(Decimal('0.0000')))) for i in range(len(x_ctr_old_temp))]
...
...
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