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ML
ffm-baseline
Commits
4bffdd40
Commit
4bffdd40
authored
Feb 21, 2020
by
张彦钊
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make_data.py
make_data.py
+4
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make_data.py
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4bffdd40
...
@@ -61,7 +61,6 @@ def doctor():
...
@@ -61,7 +61,6 @@ def doctor():
df
[
"commission"
]
=
(
df
[
"doctor_discount_30_days"
]
+
df
[
"budan_payment_30_days"
])
/
df
[
"tmp"
]
df
[
"commission"
]
=
(
df
[
"doctor_discount_30_days"
]
+
df
[
"budan_payment_30_days"
])
/
df
[
"tmp"
]
df
[
"pv_ad"
]
=
df
[
"expand_rechange_amount_30"
]
/
df
[
"tmp"
]
df
[
"pv_ad"
]
=
df
[
"expand_rechange_amount_30"
]
/
df
[
"tmp"
]
df
[
"score"
]
=
df
[
"ctr"
]
**
0.5
*
(
df
[
"commission"
]
+
df
[
"pv_ad"
])
df
.
loc
[
df
[
"all_exposure"
]
<=
1500
,
[
"ctr"
]]
=
0.01
df
.
loc
[
df
[
"all_exposure"
]
<=
1500
,
[
"ctr"
]]
=
0.01
df
.
loc
[
df
[
"ctr"
]
<
0.01
,
[
"ctr"
]]
=
0.01
df
.
loc
[
df
[
"ctr"
]
<
0.01
,
[
"ctr"
]]
=
0.01
...
@@ -71,6 +70,8 @@ def doctor():
...
@@ -71,6 +70,8 @@ def doctor():
df
.
loc
[
df
[
"pv_ad"
]
>
20
,
[
"pv_ad"
]]
=
20
df
.
loc
[
df
[
"pv_ad"
]
>
20
,
[
"pv_ad"
]]
=
20
df
.
loc
[
df
[
"pv_ad"
]
<
0.01
,
[
"pv_ad"
]]
=
0.01
df
.
loc
[
df
[
"pv_ad"
]
<
0.01
,
[
"pv_ad"
]]
=
0.01
df
[
"score"
]
=
df
[
"ctr"
]
**
0.5
*
(
df
[
"commission"
]
+
df
[
"pv_ad"
])
columns
=
[
"doctor_id"
,
"score"
,
"ctr"
,
"commission"
,
"pv_ad"
,
"service_exposure_pv_30"
,
columns
=
[
"doctor_id"
,
"score"
,
"ctr"
,
"commission"
,
"pv_ad"
,
"service_exposure_pv_30"
,
"service_ctr_30"
,
"expert_exposure_pv_30"
,
"expert_pv_30"
,
"service_ctr_30"
,
"expert_exposure_pv_30"
,
"expert_pv_30"
,
"merchant_id"
,
"doctor_discount_30_days"
,
"expand_rechange_amount_30"
,
"service_pv_30"
,
"merchant_id"
,
"doctor_discount_30_days"
,
"expand_rechange_amount_30"
,
"service_pv_30"
,
...
@@ -146,7 +147,6 @@ def hospital():
...
@@ -146,7 +147,6 @@ def hospital():
df
[
"commission"
]
=
(
df
[
"doctor_discount_30_days"
]
+
df
[
"budan_payment_30_days"
])
/
df
[
"tmp"
]
df
[
"commission"
]
=
(
df
[
"doctor_discount_30_days"
]
+
df
[
"budan_payment_30_days"
])
/
df
[
"tmp"
]
df
[
"cpt"
]
=
df
[
"expand_rechange_amount_30"
]
/
df
[
"tmp"
]
df
[
"cpt"
]
=
df
[
"expand_rechange_amount_30"
]
/
df
[
"tmp"
]
df
[
"score"
]
=
df
[
"ctr"
]
**
0.5
*
(
df
[
"commission"
]
+
df
[
"cpt"
])
df
.
loc
[
df
[
"all_exposure"
]
<=
1500
,
[
"ctr"
]]
=
0.01
df
.
loc
[
df
[
"all_exposure"
]
<=
1500
,
[
"ctr"
]]
=
0.01
df
.
loc
[
df
[
"ctr"
]
<
0.01
,
[
"ctr"
]]
=
0.01
df
.
loc
[
df
[
"ctr"
]
<
0.01
,
[
"ctr"
]]
=
0.01
...
@@ -156,6 +156,8 @@ def hospital():
...
@@ -156,6 +156,8 @@ def hospital():
df
.
loc
[
df
[
"commission"
]
>
20
,
[
"commission"
]]
=
20
df
.
loc
[
df
[
"commission"
]
>
20
,
[
"commission"
]]
=
20
df
.
loc
[
df
[
"commission"
]
<
0.01
,
[
"commission"
]]
=
0.01
df
.
loc
[
df
[
"commission"
]
<
0.01
,
[
"commission"
]]
=
0.01
df
[
"score"
]
=
df
[
"ctr"
]
**
0.5
*
(
df
[
"commission"
]
+
df
[
"cpt"
])
columns
=
[
"doctor_id"
,
"score"
,
"ctr"
,
"commission"
,
"cpt"
,
"hospital_id"
,
"hospital_exposure_pv_30"
,
columns
=
[
"doctor_id"
,
"score"
,
"ctr"
,
"commission"
,
"cpt"
,
"hospital_id"
,
"hospital_exposure_pv_30"
,
"service_exposure_pv_30"
,
"expert_exposure_pv_30"
,
"service_exposure_pv_30"
,
"expert_exposure_pv_30"
,
"service_ctr_30"
,
"hospital_ctr_30"
,
"expert_ctr_30"
,
"merchant_id"
,
"budan_payment_30_days"
,
"service_ctr_30"
,
"hospital_ctr_30"
,
"expert_ctr_30"
,
"merchant_id"
,
"budan_payment_30_days"
,
...
...
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