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Add ml enabled lumberton (#666)
* add ml enabled lumberton * update capital shocks value id in test * add changelog entry for lumberton
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CHANGELOG.md

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@@ -9,11 +9,14 @@ and this project adheres to [Semantic Versioning](http://semver.org/).
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## [Unreleased]
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### Added
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- ML Enabled Galveston CGE [#641](https://github.com/IN-CORE/pyincore/issues/641)
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- ML Enabled Mobile CGE [#658](https://github.com/IN-CORE/pyincore/issues/658)
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- Add ML enabled Seaside CGE [#657](https://github.com/IN-CORE/pyincore/issues/657)
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- ML Enabled Seaside CGE [#657](https://github.com/IN-CORE/pyincore/issues/657)
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- ML Enabled Lumberton CGE [#447](https://github.com/IN-CORE/incore-docs/issues/447)
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- Descriptions of the analyses to be more verbose. [#645](https://github.com/IN-CORE/pyincore/issues/645)
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- Descriptions of the analyses, inputs and parameters. [#649](https://github.com/IN-CORE/pyincore/issues/649)
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- Descriptions of the analyses, inputs and parameters. [#646](https://github.com/IN-CORE/pyincore/issues/646)
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- Capital Shocks analysis to also output Sectors in building to sector mappings with no guids as unit shocks. [#671](https://github.com/IN-CORE/pyincore/issues/671)
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### Fixed
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- Building retrofit fails with local building dataset. [#617](https://github.com/IN-CORE/pyincore/issues/617)
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### Fixed
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- Building retrofit fails with local building dataset. [#617](https://github.com/IN-CORE/pyincore/issues/617)
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- Network analyses to check if a network dataset is set by the user. [#667](https://github.com/IN-CORE/pyincore/issues/667)
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## [1.21.0] - 2025-02-12
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docs/source/modules.rst

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.. autoclass:: meandamage.meandamage.MeanDamage
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:members:
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analyses/mlenabledcgelumberton
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==============================
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.. autoclass:: mlenabledcgelumberton.mlcgelumberton.MlEnabledCgeLumberton
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:members:
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analyses/mlenabledcgeslc
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========================
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.. autoclass:: mlenabledcgeslc.mlcgeslc.MlEnabledCgeSlc
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:members:
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analyses/mlenabledcgegalveston
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========================
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==============================
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.. autoclass:: mlenabledcgegalveston.mlcgegalveston.MlEnabledCgeGalveston
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:members:
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.. autoclass:: mlenabledcgemobile.mlcgemobile.MlEnabledCgeMobile
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analyses/mlenabledcgeseaside
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========================
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============================
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.. autoclass:: mlenabledcgeseaside.mlcgeseaside.MlEnabledCgeSeaside
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:members:
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pyincore/analyses/mlenabledcgelumberton/DDS_coefficients.csv

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pyincore/analyses/mlenabledcgelumberton/DFFD_coefficients.csv

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,sector,value
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0,AG_MIA,31.298934763813843
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1,UTILA,38.495387077960146
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2,CONSTA,43.43237441760857
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3,MANUA,187.47298575722326
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4,WHOLEA,53.94209671535652
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5,RETAILA,218.46204202834133
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6,TRANSA,31.64012863998923
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7,INFOA,17.43824706448109
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8,FINANCEA,69.37215817592076
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9,REALEA,17.989379639527357
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10,PRO_MANA,49.637323561444475
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11,ADMINA,107.97617650653676
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12,EDUA,149.11319059869848
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13,HEALTHA,266.7038531914879
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14,ARTA,8.434154934711424
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15,ACCOA,138.2501338253203
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16,OTHERA,90.59040703322542
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17,AG_MIB,180.71635944978604
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18,UTILB,101.05232886259023
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19,CONSTB,73.33835544861495
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20,MANUB,386.308875478173
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21,WHOLEB,52.90227340116769
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22,RETAILB,226.2485089041428
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23,TRANSB,68.74755811839378
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24,INFOB,8.679431495977099
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25,FINANCEB,96.64550109146529
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26,REALEB,14.199552632546215
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27,PRO_MANB,51.04914878790231
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28,ADMINB,42.91329550822672
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29,EDUB,197.35365243060693
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30,HEALTHB,229.65274796998392
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31,ARTB,15.089517503121698
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32,ACCOB,166.93291750844116
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33,OTHERB,168.66638647345866
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34,HS1A,13.672365790999999
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35,HS2A,52.45210688700001
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36,HS3A,133.407163609
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37,HS4A,246.754338644
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38,HS1B,29.441597118999997
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39,HS2B,123.78007297400002
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40,HS3B,247.252446751
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41,HS4B,372.193493809

pyincore/analyses/mlenabledcgelumberton/DY_coefficients.csv

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