HaoYizhi 36abde1022 condense external variables

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__pycache__

condense external variables

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.vscode

condense external variables

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analysis

before proactive

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adj_g_firm_proactive.csv

graph inconsistant

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adj_g_firm_prod.csv

graph inconsistant

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adj_g_firm.csv

graph inconsistant

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AmendFirm_20230216.ipynb

analysis

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analysis_count.py

analysis

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analysis_firm_network.py

before proactive

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analysis_prod_network.py

analysis

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analysis_prod.py

analysis

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anova.py

proactive strategy anova

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anova.xlsx

before proactive

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BomCateNet_Supply.csv

1st commit

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BomCateNet.csv

AmendFirm

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BomNodes.csv

1st commit

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computation.py

format

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conf_db_prefix.yaml

with exp

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conf_db.yaml

data collection

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conf_experiment.yaml

experiment design

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controller_db.py

condense external variables

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Firm_amended_count_product.csv

model product firm

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Firm_amended.csv

Amend Firm Finished!

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Firm_ori.csv

Firm.csv

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Firm.csv

Amend Firm Finished!

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firm.py

condense external variables

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Firm.xlsx

Amend Firm Finished!

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InitRemovalHighRisk.csv

with_exp

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LoadFirm_20230213-1.ipynb

Load Firm - choose customer

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LoadFirm_20230213-1.png

Amend firm based on size

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LoadNetworkx_20230210-1.ipynb

model firm

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LoadNetworkx_20230210-1.png

Amend firm based on size

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LoadNetworkx_20230210-1.py

requirement.txt

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main.py

remove firm that denied request from candidate list

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MarketWatch.csv

Firm Addition

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MarketWatch.ipynb

Firm Addition

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model.py

condense external variables

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myfile.json

handling request based on connection

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network1.png

database store graph

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network.png

generate network pred + succ

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oa_L27.txt

with_exp

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oa_L36.txt

with exp

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oa_with_exp.csv

condense external variables

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oa_with_exp.xlsx

with exp

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oa_without_exp.csv

condense external variables

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orm.py

condense external variables

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product.py

remove firm that denied request from candidate list

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pygraphviz-1.9-cp38-cp38-win_amd64.whl

change system

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requirements_manual_selected_20230304.txt

change system

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requirements.txt

data collection

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size_stats.py

analysis

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SQL_check_num_dis_firm_in_ts.sql

with exp

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SQL_export_high_risk_setting.sql

with exp

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SQL_migrate_db.sql

with_exp

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SQL_running_check.sql

anova

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sum_result.py

before proactive

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test.ipynb

larger sample than population when replace is False

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test.py

database store graph

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xv_with_exp.csv

condense external variables

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xv_without_exp.csv

condense external variables

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全部A股(1).xlsx

Firm addition

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批量查询_ifind企业库示例文件.xlsx

Firm Addition

2023-02-17 12:03:47 +08:00

Description

Agent-based model for industrial Internet

96 MiB

Languages

Jupyter Notebook 99.5%

Python 0.5%