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ML
ffm-baseline
Commits
d8a64a73
Commit
d8a64a73
authored
Apr 25, 2019
by
张彦钊
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修改测试文件
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9350f8f1
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multi.py
tensnsorflow/multi.py
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tensnsorflow/multi.py
View file @
d8a64a73
...
@@ -18,9 +18,7 @@ def app_list_func(x,l):
...
@@ -18,9 +18,7 @@ def app_list_func(x,l):
return
","
.
join
([
str
(
j
)
for
j
in
e
])
return
","
.
join
([
str
(
j
)
for
j
in
e
])
def
multi_hot
(
df
,
column
,
n
):
def
multi_hot
(
df
,
column
,
n
):
df
=
df
.
select
(
column
)
.
fillna
(
"lost_na"
)
app_list_value
=
[
i
.
split
(
","
)
for
i
in
df
.
select
(
column
)
.
collect
()
.
unique
()]
df
.
show
(
6
)
app_list_value
=
[
i
.
split
(
","
)
for
i
in
df
.
select
(
column
)
.
unique
()]
app_list_unique
=
[]
app_list_unique
=
[]
for
i
in
app_list_value
:
for
i
in
app_list_value
:
app_list_unique
.
extend
(
i
)
app_list_unique
.
extend
(
i
)
...
@@ -80,8 +78,10 @@ def feature_engineer():
...
@@ -80,8 +78,10 @@ def feature_engineer():
df
=
df
.
drop_duplicates
([
"ucity_id"
,
"level2_ids"
,
"ccity_name"
,
"device_type"
,
"manufacturer"
,
df
=
df
.
drop_duplicates
([
"ucity_id"
,
"level2_ids"
,
"ccity_name"
,
"device_type"
,
"manufacturer"
,
"channel"
,
"top"
,
"time"
,
"stat_date"
,
"app_list"
,
"hospital_id"
,
"level3_ids"
])
"channel"
,
"top"
,
"time"
,
"stat_date"
,
"app_list"
,
"hospital_id"
,
"level3_ids"
])
df
=
df
.
fillna
(
"na"
)
multi_hot
(
df
,
"app_list"
,
1
)
df
=
df
.
toPandas
()
print
(
df
.
shape
)
print
(
df
.
head
(
6
))
...
...
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