From 77ed41b04fca4eb2579ad34559eaaed770aac739 Mon Sep 17 00:00:00 2001 From: Rashmil Panchani <32737711+Rashmil-1999@users.noreply.github.com> Date: Thu, 31 Oct 2024 14:53:29 -0400 Subject: [PATCH] Fix cge core and joplin basevals (#628) * add mlenabledcgejoplin * add mlenabled cge joplin * finalize pr * update coefficients * fix basevals and core cge bug * add changelog entry --- CHANGELOG.md | 5 + pyincore/analyses/core_cge_ml/corecgeml.py | 18 +-- .../mlenabledcgejoplin/DFFD_coefficients.csv | 128 +++++++++--------- .../mlenabledcgejoplin/DS_base_val.csv | 30 ++-- .../mlenabledcgejoplin/GI_base_val.csv | 10 +- .../analyses/mlenabledcgejoplin/baseKAP.csv | 38 +++--- 6 files changed, 114 insertions(+), 115 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 08e61191..f4209425 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,6 +5,11 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](http://keepachangelog.com/) and this project adheres to [Semantic Versioning](http://semver.org/). +## [Unreleased] + +### Fixed +- CoreCGEML bug and updated base values [#627](https://github.com/IN-CORE/pyincore/issues/627) + ## [1.20.0] - 2024-10-24 diff --git a/pyincore/analyses/core_cge_ml/corecgeml.py b/pyincore/analyses/core_cge_ml/corecgeml.py index 2125f602..1be0b662 100644 --- a/pyincore/analyses/core_cge_ml/corecgeml.py +++ b/pyincore/analyses/core_cge_ml/corecgeml.py @@ -103,11 +103,12 @@ def construct_output(self, predictions: dict) -> Dict[str, Dict[str, list]]: temp_prefd: Dict[str, Dict[str, float]] = defaultdict(dict) temp_postfd: Dict[str, Dict[str, float]] = defaultdict(dict) + for i, fd_sector in enumerate(self.sectors["dffd"]): splits = fd_sector.split("_") - if len(splits) > 2: - sector = "_".join(splits[:-1]) - grp = splits[-1] + + sector = "_".join(splits[:-1]) if len(splits) > 1 else splits[0] + grp = splits[-1] temp_prefd[sector][grp] = predictions["dffd"]["before"][i] temp_postfd[sector][grp] = predictions["dffd"]["after"][i] @@ -116,15 +117,8 @@ def construct_output(self, predictions: dict) -> Dict[str, Dict[str, list]]: prefd_l = [] postfd_l = [] for grp in self.labor_groups: - if temp_prefd[sector].get(grp, None) is None: - prefd_l.append(-1) - else: - prefd_l.append(temp_prefd[sector][grp]) - - if temp_postfd[sector].get(grp, None) is None: - postfd_l.append(-1) - else: - postfd_l.append(temp_postfd[sector][grp]) + prefd_l.append(temp_prefd[sector].get(grp, -1)) + postfd_l.append(temp_postfd[sector].get(grp, -1)) prefd[sector] = prefd_l postfd[sector] = postfd_l diff --git a/pyincore/analyses/mlenabledcgejoplin/DFFD_coefficients.csv b/pyincore/analyses/mlenabledcgejoplin/DFFD_coefficients.csv index be9d94ea..6ec84e30 100644 --- a/pyincore/analyses/mlenabledcgejoplin/DFFD_coefficients.csv +++ b/pyincore/analyses/mlenabledcgejoplin/DFFD_coefficients.csv @@ -1,66 +1,66 @@ Testbed,Hazard,Model_Type,Model_Name,(Intercept),AG_MIN,UTIL_CONS,MANU,WHOLE,RETAIL,TRANS,INFO,FINANCE,REALE,PROF_MAN,ADMIN_EDU,HEALTH,ART,ACCO,OTHER,HS1,HS2,HS3,HS4 Joplin,tornado,main_model,totDFFD,12.9959656314854,0,-0.476074145861619,-0.170877921998959,-0.353664791139807,-0.318137949421544,-0.15058194099686,-0.351205923256733,-0.55178965467295,-0.765424986854397,-0.210461083668639,-0.331902153041619,-0.39897119265928,-0.429503374655335,-1.1477094321925,-0.310611376852082,-0.515048572681795,-1.1148030802775,-1.30026558605694,-0.49509657297731 -Joplin,tornado,sector_model,DFFD _ AG_MIN_L1,-0.0368023007936298,-0.00123419804726362,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 -Joplin,tornado,sector_model,DFFD _ AG_MIN_L2,-0.0381918158672967,-0.00123257648498208,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 -Joplin,tornado,sector_model,DFFD _ 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ART_L2,-0.0690214910635443,0,0.00141940983778435,-0.000219560761675778,-0.00155108080750366,-0.000911207813189647,-4.39221275233777e-05,0.000724566953057579,0.00187160067328795,0.00313831671024151,-0.000355100801297082,0.000488345958920478,0.0010684824112362,-0.317296009292993,0.00184039837175896,0.000610319739275242,-0.0014297260814904,-0.00292747233284026,-0.00340180954823318,-0.00139872759462422 +Joplin,tornado,sector_model,DFFD_ ART_L3,-0.0459007650441678,0,0.00188143891135421,-0.00021243062562048,-0.00255824196840008,-0.00128521369314767,6.40197219841504e-05,0.0012551676410012,0.000826051132647515,0.00132661980500119,-0.000158093833509327,0,0.000854839554013771,-0.422117898577442,7.47279666377618e-06,0.000253626322714824,-0.00191513108610495,-0.00389725028835359,-0.00452641381885936,-0.00186601839236556 +Joplin,tornado,sector_model,DFFD_ ACCO_L1,-2.52914893669103,0,0.0173597111465699,-0.00482912136657904,-0.0308623322628353,-0.0194551371131496,0,0,0.0153386570263757,0,-0.00197530746667419,0.0241419375511009,0.010649106378459,0,-1.24524858514923,0.0317064993061207,-0.0217608145015452,-0.0481296828045045,-0.0554964761957914,-0.0224934833826474 +Joplin,tornado,sector_model,DFFD_ ACCO_L2,-1.4555370776812,0,0.0135956520021742,-0.00254745183291726,-0.0144475172570076,-0.00929970877404063,-0.000814891135661826,0.00716242665726892,0.0217645730630412,0.0356848308437682,-0.0023319997447022,0.007296473583466,0.0119237985905734,0.00702214650984184,-0.609651675783405,0.00785888413732537,-0.0112912983625401,-0.0236554638311819,-0.0272169547445104,-0.0111880401927766 +Joplin,tornado,sector_model,DFFD_ ACCO_L3,-0.249036771856779,0,0.0012557790346324,-0.00016175214905221,-0.00174322524134447,-0.000956194060600261,3.38964315918887e-05,0.000804191617705443,0.000754816142287679,0.00114659347087828,0,0.000151961501813454,0.000694578680899455,0.00131456384339497,-0.0625373439076267,0.000253653231910829,-0.00107243806181929,-0.00232231180553234,-0.00266266196454703,-0.00110036811251868 +Joplin,tornado,sector_model,DFFD_ OTHER_L1,-1.74713438284366,0,0.00268855974798622,-0.000757210447786809,-0.00567989604572389,-0.00369620609197065,0,0,0.00254667573509014,0,-9.02589349898819e-05,0.00464236363463213,0.00168554384824337,0,0.0300502874643171,-0.297240243745501,-0.00425278382193381,-0.00919711095308124,-0.010768573153071,-0.00431231991273672 +Joplin,tornado,sector_model,DFFD_ OTHER_L2,-1.05083295845478,0,0.00264223310617781,0,-0.00321064663815496,-0.00237178502372066,0,0,0.00481429083039639,0.00814247517577269,0,0.00103424607797609,0.00260526120072316,0,0.00512233372096396,-0.215892445812821,-0.0027262104796799,-0.00676536570917958,-0.00791056646756145,-0.00319123529310661 +Joplin,tornado,sector_model,DFFD_ OTHER_L3,-0.386787489800861,0,0.0010096755090832,-7.17240073399894e-05,-0.00151699709898129,-0.000843863085274828,0,0.000719639776338288,0.000532594481643113,0.000863048054840745,0,1.50353996414767e-05,0.000542557318193164,0.00125953319192212,0,-0.064185347729542,-0.000975058210176098,-0.00208611613953276,-0.00242955231301503,-0.00099131139309133 +Joplin,tornado,sector_model,DFFD_ OTHER_L4,-0.138891549464905,0,0,0,0,-1.33471194515359e-06,0,0,0,0,0,0,0,0,0,-0.00110113128291926,0,-1.03237149735514e-05,-1.8318205243783e-05,-5.53509092420016e-06 +Joplin,tornado,sector_model,DFFD_ FED_L1,-0.023587914403323,0,-5.24314296162554e-06,0,0,0,0,0,0,0,0,0,-4.80744372574666e-06,0,0,0,0,0,0,0 +Joplin,tornado,sector_model,DFFD_ FED_L2,-0.161733027153337,0,-0.00146229489678819,-8.23936358611789e-05,0.00046681676241916,0.000213261370076113,-0.000130025603030247,-0.000758815575763434,-0.000676722318213914,-0.0017619095737951,-2.49246087611655e-05,-0.000398118260585703,-0.00110497618742875,-0.000780854788968687,-0.000783401184772278,-0.000292582781744486,9.17361859246839e-05,0.000252878703960411,0.00028347479496775,0.000127575580008332 +Joplin,tornado,sector_model,DFFD_ FED_L3,-0.0920075444799932,0,-0.000183068284115252,0,3.64947091149418e-05,1.99477865853819e-05,0,-4.62182811244937e-05,-7.53692928002652e-05,-0.000222098793363805,0,-4.48522369315157e-05,-0.000145112594372461,0,-0.000112760284877636,-2.78749382217863e-05,0,2.44257669289342e-05,2.8009196510582e-05,1.25379338132767e-05 +Joplin,tornado,sector_model,DFFD_ STATE_L1,-0.0848182627719828,0,0,0,-9.38202170364744e-06,-4.83523365411246e-06,0,0,0,0,0,1.85407630750452e-05,0,0,0.000140991547699322,1.00609577614541e-05,-2.98157897315082e-05,-0.000104031611565188,-0.000116893428386196,-4.27435705717951e-05 +Joplin,tornado,sector_model,DFFD_ STATE_L2,-0.119303517671707,0,0.000626390597000764,0.000255967942935748,-0.000875253915118275,-0.000439192853335117,0.000232329561230414,0.00018350671205769,0.000942616794732549,0.00143862221943436,0.000212951504854088,0.000800762556780149,0.0008656974847331,5.80260641250378e-06,0.0011947988111796,0.00043386037497645,-0.00118481412578006,-0.00269741132390658,-0.00312902091743145,-0.00115339639902201 +Joplin,tornado,sector_model,DFFD_ STATE_L3,-0.157360654888119,0,7.84799312137926e-05,3.77180449652071e-05,-0.000206148822238071,-8.6379356852747e-05,5.37233715306493e-06,0,0,0,2.60055035391949e-05,6.4010350787442e-05,8.44996673011944e-05,0,0,0,-0.00023495784870473,-0.000584984915752449,-0.000669162673085023,-0.000248921168249771 +Joplin,tornado,sector_model,DFFD_ COUNTY_L1,-0.11710898927734,0,6.2040446258432e-05,8.61470386068367e-05,-0.000193704778642847,-7.52090467760606e-05,4.70050686865537e-05,0,0,-6.17616271859432e-05,1.64952864695309e-05,0.000338540547764938,0.000135290149034972,0,0.00128328964269307,0.000264885851973231,-0.000330897246330573,-0.000793598564741091,-0.000911500183763692,-0.000334736096399187 +Joplin,tornado,sector_model,DFFD_ COUNTY_L2,-0.0589082218971487,0,0.00333771012232734,0.00185621249186994,-0.00358189580406304,-0.00155672462939212,0.0022397013443046,0.00163809358722472,0.00505332473362308,0.00721171208956474,0.00168937623010967,0.0043118510410281,0.00474305359220419,0.00221498735006591,0.00616671514289985,0.00245691760762985,-0.00553501689369921,-0.0122745187726703,-0.0143176155340353,-0.00526115030021876 +Joplin,tornado,sector_model,DFFD_ COUNTY_L3,-0.161633460797137,0,0.000795444687004734,0.000516607651048917,-0.00118243091102713,-0.00042778105468637,0.000751699678947858,0.00044848230194699,0.000146856159157219,0,0.000623184097632055,0.000687792411190402,0.000855175044551954,0.000974825811620701,3.23547296022375e-05,0.000234308745092262,-0.00144500416319984,-0.00326383155476018,-0.00378880198001964,-0.00139948795917397 diff --git a/pyincore/analyses/mlenabledcgejoplin/DS_base_val.csv b/pyincore/analyses/mlenabledcgejoplin/DS_base_val.csv index 588515cb..739a4eb3 100644 --- a/pyincore/analyses/mlenabledcgejoplin/DS_base_val.csv +++ b/pyincore/analyses/mlenabledcgejoplin/DS_base_val.csv @@ -1,19 +1,19 @@ ,sector,value -0,AG_MIN,1.598027339066979 -1,UTIL_CONS,67.83798452867518 -2,MANU,399.1735922481955 -3,WHOLE,124.48196455965623 -4,RETAIL,422.29292165870265 -5,TRANS,197.26277382798176 -6,INFO,35.59158407713193 -7,FINANCE,44.28241127691359 -8,REALE,26.224762492350692 -9,PROF_MAN,106.58918808985136 -10,ADMIN_EDU,193.8495390757108 -11,HEALTH,546.8729601561311 -12,ART,20.572497674487664 -13,ACCO,102.42295840687507 -14,OTHER,67.5312469807354 +0,AG_MIN,2.2338513413999994 +1,UTIL_CONS,90.2904755290001 +2,MANU,403.07955221000003 +3,WHOLE,109.81030951599996 +4,RETAIL,415.5543353970001 +5,TRANS,195.15013653100002 +6,INFO,35.005621056999956 +7,FINANCE,52.85019249929991 +8,REALE,30.407020309000018 +9,PROF_MAN,112.20005307899999 +10,ADMIN_EDU,197.97671472700003 +11,HEALTH,534.1355093950003 +12,ART,20.804700404000002 +13,ACCO,91.63897788500009 +14,OTHER,68.20265451800003 15,HS1,82.9637664 16,HS2,280.149233194 17,HS3,289.624294422 diff --git a/pyincore/analyses/mlenabledcgejoplin/GI_base_val.csv b/pyincore/analyses/mlenabledcgejoplin/GI_base_val.csv index 774214a2..c273001a 100644 --- a/pyincore/analyses/mlenabledcgejoplin/GI_base_val.csv +++ b/pyincore/analyses/mlenabledcgejoplin/GI_base_val.csv @@ -1,6 +1,6 @@ ,household,value -0,HH1,12.124737965497282 -1,HH2,55.32517905721738 -2,HH3,259.9930146301393 -3,HH4,312.6160129368168 -4,HH5,230.22826881816738 +0,HH1,12.128132620497281 +1,HH2,55.340668867217374 +2,HH3,260.0658068501393 +3,HH4,312.7035384168168 +4,HH5,230.29272756816738 diff --git a/pyincore/analyses/mlenabledcgejoplin/baseKAP.csv b/pyincore/analyses/mlenabledcgejoplin/baseKAP.csv index e1c2cf50..266a699f 100644 --- a/pyincore/analyses/mlenabledcgejoplin/baseKAP.csv +++ b/pyincore/analyses/mlenabledcgejoplin/baseKAP.csv @@ -1,20 +1,20 @@ ,sector,baseKAP -0,AG_MIN,7.530259164 -1,UTIL_CONS,114.5791946 -2,MANU,640.8047102 -3,WHOLE,580.117871 -4,RETAIL,1113.884815 -5,TRANS,247.6179499 -6,INFO,168.2107127 -7,FINANCE,166.1392265 -8,REALE,111.3663128 -9,PROF_MAN,110.4881089 -10,ADMIN_EDU,369.9734177 -11,HEALTH,596.4218767 -12,ART,63.20249818 -13,ACCO,372.402468 -14,OTHER,417.7524372 -15,HS1,968.5177702 -16,HS2,530.2815926 -17,HS3,890.5163487 -18,HS4,1718.109817 +0,AG_MIN,13.71604 +1,UTIL_CONS,334.2707 +2,MANU,679.328 +3,WHOLE,435.7134 +4,RETAIL,1047.724 +5,TRANS,226.8709 +6,INFO,162.6365 +7,FINANCE,248.7325 +8,REALE,152.5482 +9,PROF_MAN,165.6483 +10,ADMIN_EDU,410.688 +11,HEALTH,470.7956 +12,ART,65.48041 +13,ACCO,266.3136 +14,OTHER,424.3918 +15,HS1,564.678 +16,HS2,901.6777 +17,HS3,799.9431 +18,HS4,1811.061