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ML
ffm-baseline
Commits
c7664788
Commit
c7664788
authored
Jun 21, 2019
by
张彦钊
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change test file
parent
6b6c865e
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2 changed files
with
5 additions
and
36 deletions
+5
-36
feature_test.py
tensnsorflow/feature_test.py
+5
-3
multi_hot.py
tensnsorflow/multi_hot.py
+0
-33
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tensnsorflow/feature_test.py
View file @
c7664788
...
...
@@ -212,9 +212,11 @@ def feature_engineer():
app_list_func
(
x
[
5
],
leve3_map
),
app_list_func
(
x
[
6
],
leve2_map
),
app_list_func
(
x
[
7
],
leve2_map
),
app_list_func
(
x
[
8
],
leve2_map
),
app_list_func
(
x
[
9
],
leve2_map
),
app_list_func
(
x
[
10
],
leve2_map
),
app_list_func
(
x
[
11
],
leve2_map
),
app_list_func
(
x
[
12
],
leve2_map
),
[
value_map
[
x
[
0
]],
value_map
[
x
[
13
]],
value_map
[
x
[
14
]],
value_map
[
x
[
15
]],
value_map
[
x
[
16
]],
value_map
[
x
[
17
]],
value_map
[
x
[
18
]],
value_map
[
x
[
19
]],
value_map
[
x
[
20
]],
value_map
[
x
[
21
]],
value_map
[
x
[
22
]],
value_map
[
x
[
23
]],
value_map
[
x
[
24
]],
value_map
[
x
[
25
]],
value_map
[
x
[
26
]]]))
\
[
value_map
.
get
(
x
[
0
],
1
),
value_map
.
get
(
x
[
13
],
2
),
value_map
.
get
(
x
[
14
],
3
),
value_map
.
get
(
x
[
15
],
4
),
value_map
.
get
(
x
[
16
],
5
),
value_map
.
get
(
x
[
17
],
6
),
value_map
.
get
(
x
[
18
],
7
),
value_map
.
get
(
x
[
19
],
8
),
value_map
.
get
(
x
[
20
],
9
),
value_map
.
get
(
x
[
21
],
10
),
value_map
.
get
(
x
[
22
],
11
),
value_map
.
get
(
x
[
23
],
12
),
value_map
.
get
(
x
[
24
],
13
),
value_map
.
get
(
x
[
25
],
14
),
value_map
.
get
(
x
[
26
],
15
)]))
\
.
zipWithIndex
()
.
map
(
lambda
x
:(
x
[
0
][
0
],
x
[
0
][
1
],
x
[
0
][
2
],
x
[
0
][
3
],
x
[
0
][
4
],
x
[
0
][
5
],
x
[
0
][
6
],
x
[
0
][
7
],
x
[
0
][
8
],
x
[
0
][
9
],
x
[
0
][
10
],
x
[
0
][
11
],
x
[
0
][
12
],
x
[
0
][
13
],
x
[
1
]))
...
...
tensnsorflow/multi_hot.py
View file @
c7664788
...
...
@@ -362,39 +362,6 @@ def get_predict(date,value_map,app_list_map,leve2_map,leve3_map):
.
repartition
(
1
)
.
write
.
format
(
"tfrecords"
)
.
save
(
path
=
path
+
"nearby/"
,
mode
=
"overwrite"
)
print
(
"nearby tfrecord done"
)
def
doris
():
db
=
pymysql
.
connect
(
host
=
'172.16.40.158'
,
port
=
4000
,
user
=
'root'
,
passwd
=
'3SYz54LS9#^9sBvC'
,
db
=
'jerry_test'
)
sql
=
"select max(stat_date) from esmm_train_data_dwell"
validate_date
=
con_sql
(
db
,
sql
)[
0
]
.
values
.
tolist
()[
0
]
print
(
"validate_date:"
+
validate_date
)
temp
=
datetime
.
datetime
.
strptime
(
validate_date
,
"
%
Y-
%
m-
%
d"
)
start
=
(
temp
-
datetime
.
timedelta
(
days
=
3
))
.
strftime
(
"
%
Y-
%
m-
%
d"
)
print
(
start
)
# sql = "select e.y,e.z,e.stat_date,e.ucity_id,doris.search_tag2,doris.search_tag3 " \
# "from jerry_test.esmm_train_data_dwell e " \
# "left join jerry_test.search_doris doris on e.device_id = doris.device_id " \
# "and e.stat_date = doris.get_date " \
# "where e.stat_date >= '{}'".format(start)
#
# df = spark.sql(sql)
# print(df.count())
# sql = "select y,z,stat_date,ucity_id from jerry_test.esmm_train_data_dwell " \
# "where stat_date >= '{}'".format(start)
#
# df = spark.sql(sql)
# print(df.count())
sql
=
"select e.y,e.z,e.label,e.ucity_id,doris.search_tag2,doris.search_tag3 "
\
"from jerry_test.esmm_pre_data e "
\
"left join jerry_test.search_doris doris on e.device_id = doris.device_id "
\
"and e.stat_date = doris.get_date"
df
=
spark
.
sql
(
sql
)
print
(
df
.
count
())
sql
=
"select y,z from jerry_test.esmm_pre_data"
df
=
spark
.
sql
(
sql
)
print
(
df
.
count
())
if
__name__
==
'__main__'
:
sparkConf
=
SparkConf
()
.
set
(
"spark.hive.mapred.supports.subdirectories"
,
"true"
)
\
...
...
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