HaoYizhi
|
f3f50accaa
|
drop proactive + analysis
|
2023-08-18 22:35:48 -04:00 |
HaoYizhi
|
bf82aa62ff
|
debug
|
2023-07-28 18:07:30 +08:00 |
HaoYizhi
|
a321df0582
|
remove crit_supplier
|
2023-07-28 15:14:59 +08:00 |
HaoYizhi
|
74d8798b1d
|
connected firm no accept probability
|
2023-07-27 12:50:52 +08:00 |
HaoYizhi
|
b17dec4dbe
|
experiments'
|
2023-07-03 12:42:20 +08:00 |
HaoYizhi
|
9ebdb89332
|
experiments'
|
2023-07-03 12:40:10 +08:00 |
HaoYizhi
|
ced7a105ae
|
baseline
|
2023-07-02 23:30:42 +08:00 |
HaoYizhi
|
098680f3aa
|
update the status of firm in clean_before_time_step + remove_edge_to_cus_disrupt_cus_up_prod update disrupted status instead of append + proactive find candidate that is not a current supplier for the same product
|
2023-07-02 23:16:05 +08:00 |
HaoYizhi
|
0965a5daa4
|
set to removed only for disrupted firm
|
2023-07-02 15:51:01 +08:00 |
HaoYizhi
|
afc74765ad
|
set maximun interation limit: para n_iter
|
2023-07-02 15:17:58 +08:00 |
HaoYizhi
|
695bfb409c
|
set maximun interation limit: para n_iter
|
2023-07-02 15:17:46 +08:00 |
HaoYizhi
|
c348f3eb9c
|
rename 3 status into (Normal / Disrupted / Removed)
|
2023-07-02 15:03:51 +08:00 |
HaoYizhi
|
baf60ffd76
|
remove disrupt to removed, 3 status (Normal / Affected / Removed) + size_stat
|
2023-07-02 13:00:13 +08:00 |
HaoYizhi
|
fe58a2cf9a
|
4 status: Normal / Affected / Disrupted / Removed
|
2023-07-01 19:00:46 +08:00 |
HaoYizhi
|
ae5bebb1f3
|
drop firm attr a_lst_product/_disrupted
|
2023-06-18 22:41:26 +08:00 |
HaoYizhi
|
6f99d9978e
|
4 status (Normal / Affected / Disrupted / Removed)
|
2023-06-18 21:39:15 +08:00 |
HaoYizhi
|
b0b3cac73e
|
init extra capacity in firm.py
|
2023-06-18 18:15:37 +08:00 |
HaoYizhi
|
dd8a786f6c
|
dct_prod_up_prod_stat + no need for dct_list_remove_firm_prod/dct_list_disrupt_firm_prod
|
2023-06-18 17:29:11 +08:00 |
HaoYizhi
|
09ea2e9527
|
no need for resetting random generator with seed
|
2023-06-16 17:15:17 +08:00 |
HaoYizhi
|
36abde1022
|
condense external variables
|
2023-06-14 18:00:08 +08:00 |
HaoYizhi
|
ad8771c459
|
with exp
|
2023-06-11 22:42:04 +08:00 |
HaoYizhi
|
c367252da2
|
db_name_prefix with or without exp
|
2023-06-11 20:28:51 +08:00 |
HaoYizhi
|
dbbdbc935a
|
exp
|
2023-06-11 16:14:23 +08:00 |
HaoYizhi
|
6d43865f79
|
generate network pred + succ
|
2023-06-11 13:17:34 +08:00 |
HaoYizhi
|
49d3c6791e
|
set to list
|
2023-06-11 11:17:41 +08:00 |
HaoYizhi
|
0647a9721a
|
generate based on supplier
|
2023-06-10 23:23:44 +08:00 |
HaoYizhi
|
3b9252d93d
|
cap prob type and level
|
2023-06-10 21:26:35 +08:00 |
HaoYizhi
|
7a08a52f3f
|
exp connect first
|
2023-06-10 20:56:34 +08:00 |
HaoYizhi
|
313870bcc3
|
rename variable
|
2023-06-10 19:51:50 +08:00 |
HaoYizhi
|
0e40f90559
|
sample removal + seek connect first
|
2023-06-10 18:59:38 +08:00 |
HaoYizhi
|
b55a313c95
|
proactive strategy exp
|
2023-06-05 16:01:20 +08:00 |
HaoYizhi
|
907d6cb179
|
before graph firm prod
|
2023-06-05 10:47:37 +08:00 |
HaoYizhi
|
af0d1dd2c3
|
before proactive
|
2023-06-04 18:43:49 +08:00 |
HaoYizhi
|
228a066cf6
|
anova
|
2023-05-22 17:25:10 +08:00 |
HaoYizhi
|
475ba35613
|
with_exp
|
2023-05-21 17:05:06 +08:00 |
HaoYizhi
|
b4e9512439
|
without_exp
|
2023-05-21 12:35:27 +08:00 |
HaoYizhi
|
839e47cf0b
|
experiments in model and firm py
|
2023-05-15 18:18:41 +08:00 |
HaoYizhi
|
a5f278c4cb
|
experiment design
|
2023-05-15 16:19:05 +08:00 |
HaoYizhi
|
745763ce2e
|
format
|
2023-05-15 13:44:21 +08:00 |
HaoYizhi
|
7e8980d0c6
|
remove firm that denied request from candidate list
|
2023-05-15 13:37:05 +08:00 |
HaoYizhi
|
6489ecff90
|
first normal run
|
2023-03-16 21:38:57 +08:00 |
HaoYizhi
|
082864814b
|
database store graph
|
2023-03-16 15:07:43 +08:00 |
HaoYizhi
|
4f7be2c76c
|
formatting
|
2023-03-14 19:11:10 +08:00 |
HaoYizhi
|
5b0e17ce52
|
formatting
|
2023-03-14 18:53:00 +08:00 |
HaoYizhi
|
a8d50e1f81
|
accept order conditionally
|
2023-03-14 17:51:17 +08:00 |
HaoYizhi
|
4b34dab443
|
Firm accept request conditionally
|
2023-03-14 11:39:11 +08:00 |
HaoYizhi
|
b935f0ce79
|
database
|
2023-03-13 21:53:50 +08:00 |
HaoYizhi
|
09b59d8778
|
database
|
2023-03-13 19:47:25 +08:00 |
HaoYizhi
|
2f162b970b
|
model output
|
2023-03-12 22:21:39 +08:00 |
HaoYizhi
|
0265e6faa7
|
data collection
|
2023-03-12 12:02:01 +08:00 |