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Last active March 22, 2018 19:01
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<?xml version="1.0"?>
<!DOCTYPE Simulation [
<!ENTITY feature_isotopes SYSTEM "./aux-input-files/feature_isotopes">
]>
<Simulation xmlns:xi="http://www.w3.org/2001/XInclude" verbosity="all">
<RunInfo>
<WorkingDir>data</WorkingDir>
<!-- ordered list of step names that RAVEN will run -->
<Sequence>get_input, make_rom, rom_dump</Sequence>
<!-- number of parallel runs executed simultaneously -->
<batchSize>6</batchSize>
</RunInfo>
<VariableGroups>
<Group name="feature_space">
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deptime
</Group>
<Group name="target_space">boc_keff, eoc_keff</Group>
</VariableGroups>
<Files>
<Input name="rom_output" type="">keff_rom_svm</Input>
<Input name="inputcsv" type="">combined.csv</Input>
</Files>
<Models>
<!-- Defines ROM specifics, from library(subType),
independent variable(Features), dependent variable(Target),
algorithm (SKLtype) and etc. -->
<ROM name="rom" subType="SciKitLearn">
<Features>feature_space</Features>
<Target>target_space</Target>
<SKLtype>svm|SVR</SKLtype>
<kernel>rbf</kernel>
</ROM>
</Models>
<Steps>
<IOStep name="get_input">
<!-- In the IOStep the serpent-output-converted-csv files are logged into output-->
<Input class="Files" type="">inputcsv</Input>
<Output class="DataObjects" type="PointSet">inputdata</Output>
</IOStep>
<RomTrainer name="make_rom">
<!-- Given the dataset, generate ROM using Scikit-learn -->
<Input class="DataObjects" type="PointSet">inputdata</Input>
<Output class="Models" type="ROM">rom</Output>
</RomTrainer>
<IOStep name="rom_dump">
<!-- Save the rom as rom_output-->
<Input class="Models" type="ROM">rom</Input>
<Output class="Files" type="">rom_output</Output>
</IOStep>
</Steps>
<DataObjects>
<!-- Specifies the output objects, just the rows from the
serpent-output-converted-csv file with column name -->
<PointSet name="inputdata">
<Input>feature_space</Input>
<Output>target_space</Output>
</PointSet>
</DataObjects>
</Simulation>
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<?xml version="1.0"?>
<!DOCTYPE Simulation [
<!ENTITY feature_isotopes SYSTEM 'feature_isotopes'>
]>
<Simulation xmlns:xi="http://www.w3.org/2001/XInclude" verbosity="all">
<RunInfo>
<WorkingDir>data</WorkingDir>
<!-- ordered list of step names that RAVEN will run -->
<Sequence>get_input, make_rom, rom_dump</Sequence>
<!-- number of parallel runs executed simultaneously -->
<batchSize>6</batchSize>
</RunInfo>
<VariableGroups>
<Group name="feature_space">
&feature_isotopes; , deptime
</Group>
<Group name="target_space">boc_keff, eoc_keff</Group>
</VariableGroups>
<Files>
<Input name="rom_output" type="">keff_rom_svm</Input>
<Input name="inputcsv" type="">combined.csv</Input>
</Files>
<Models>
<!-- Defines ROM specifics, from library(subType),
independent variable(Features), dependent variable(Target),
algorithm (SKLtype) and etc. -->
<ROM name="rom" subType="SciKitLearn">
<Features>feature_space</Features>
<Target>target_space</Target>
<SKLtype>svm|SVR</SKLtype>
<kernel>rbf</kernel>
</ROM>
</Models>
<Steps>
<IOStep name="get_input">
<!-- In the IOStep the serpent-output-converted-csv files are logged into output-->
<Input class="Files" type="">inputcsv</Input>
<Output class="DataObjects" type="PointSet">inputdata</Output>
</IOStep>
<RomTrainer name="make_rom">
<!-- Given the dataset, generate ROM using Scikit-learn -->
<Input class="DataObjects" type="PointSet">inputdata</Input>
<Output class="Models" type="ROM">rom</Output>
</RomTrainer>
<IOStep name="rom_dump">
<!-- Save the rom as rom_output-->
<Input class="Models" type="ROM">rom</Input>
<Output class="Files" type="">rom_output</Output>
</IOStep>
</Steps>
<DataObjects>
<!-- Specifies the output objects, just the rows from the
serpent-output-converted-csv file with column name -->
<PointSet name="inputdata">
<Input>feature_space</Input>
<Output>target_space</Output>
</PointSet>
</DataObjects>
</Simulation>
<?xml version="1.0"?>
<Simulation xmlns:xi="http://www.w3.org/2001/XInclude" verbosity="all">
<RunInfo>
<WorkingDir>data</WorkingDir>
<!-- ordered list of step names that RAVEN will run -->
<Sequence>get_input, make_rom, rom_dump</Sequence>
<!-- number of parallel runs executed simultaneously -->
<batchSize>6</batchSize>
</RunInfo>
<VariableGroups>
<Group name="feature_space">
<xi:include href="./aux-input-files/feature_isotopes" parse="text"/>, deptime
</Group>
<Group name="target_space">boc_keff, eoc_keff</Group>
</VariableGroups>
<Files>
<Input name="rom_output" type="">keff_rom_svm</Input>
<Input name="inputcsv" type="">combined.csv</Input>
</Files>
<Models>
<!-- Defines ROM specifics, from library(subType),
independent variable(Features), dependent variable(Target),
algorithm (SKLtype) and etc. -->
<ROM name="rom" subType="SciKitLearn">
<Features>feature_space</Features>
<Target>target_space</Target>
<SKLtype>svm|SVR</SKLtype>
<kernel>rbf</kernel>
</ROM>
</Models>
<Steps>
<IOStep name="get_input">
<!-- In the IOStep the serpent-output-converted-csv files are logged into output-->
<Input class="Files" type="">inputcsv</Input>
<Output class="DataObjects" type="PointSet">inputdata</Output>
</IOStep>
<RomTrainer name="make_rom">
<!-- Given the dataset, generate ROM using Scikit-learn -->
<Input class="DataObjects" type="PointSet">inputdata</Input>
<Output class="Models" type="ROM">rom</Output>
</RomTrainer>
<IOStep name="rom_dump">
<!-- Save the rom as rom_output-->
<Input class="Models" type="ROM">rom</Input>
<Output class="Files" type="">rom_output</Output>
</IOStep>
</Steps>
<DataObjects>
<!-- Specifies the output objects, just the rows from the
serpent-output-converted-csv file with column name -->
<PointSet name="inputdata">
<Input>feature_space</Input>
<Output>target_space</Output>
</PointSet>
</DataObjects>
</Simulation>
<?xml version="1.0"?>
<Simulation xmlns:xi="http://www.w3.org/2001/XInclude" verbosity="all">
<RunInfo>
<WorkingDir>data</WorkingDir>
<!-- ordered list of step names that RAVEN will run -->
<Sequence>get_input, make_rom, rom_dump</Sequence>
<!-- number of parallel runs executed simultaneously -->
<batchSize>6</batchSize>
</RunInfo>
<VariableGroups>
<Group name="feature_space">
f1001.09c,f1002.09c,f1003.09c,f2003.09c,f2004.09c,f20060,f3006.09c,f3007.09c,f30080,f30090,f40080,f4009.09c,f40100,f40110,f5010.09c,f5011.09c,f50120,f60120,f60130,f60140,f60150,f70130,f7014.09c,f7015.09c,f70160,f70170,f8016.09c,f8017.09c,f80180,f80190,f90180,f9019.09c,f90200,f100200,f100210,f250610,f250620,f260580,f260590,f260600,f260610,f260620,f260640,f260650,f260660,f270590,f270600,f270601,f270610,f270620,f270630,f270640,f270650,f270660,f270670,f270680,f270690,f280600,f28061.09c,f28062.09c,f280630,f28064.09c,f280650,f280660,f280670,f280680,f280690,f280691,f280700,f280710,f280720,f280730,f280740,f280750,f290630,f290640,f29065.09c,f290660,f290670,f290680,f290681,f290690,f290700,f290701,f290702,f290710,f290720,f290730,f290740,f290750,f290760,f290761,f290770,f290780,f300640,f300660,f300670,f300680,f300690,f300691,f300700,f300710,f300711,f300720,f300730,f300731,f300732,f300740,f300750,f300760,f300770,f300771,f300780,f300790,f300800,f300810,f310690,f310700,f310710,f310720,f310721,f310730,f310740,f310741,f310750,f310760,f310770,f310780,f310790,f310800,f310810,f310820,f310830,f310840,f320700,f320710,f32072.09c,f32073.09c,f320731,f32074.09c,f320750,f320751,f32076.09c,f320770,f320771,f320780,f320790,f320791,f320800,f320810,f320811,f320820,f320830,f320840,f320850,f320860,f320870,f33075.09c,f330760,f330770,f330780,f330790,f330800,f330810,f330820,f330821,f330830,f330840,f330841,f330850,f330860,f330870,f330880,f330890,f330900,f340760,f34077.09c,f340771,f34078.09c,f34079.09c,f340791,f34080.09c,f340810,f340811,f34082.09c,f340830,f340831,f340840,f340850,f340860,f340870,f340880,f340890,f340900,f340910,f340920,f350780,f35079.09c,f350800,f350801,f35081.09c,f350820,f350821,f350830,f350840,f350841,f350850,f350860,f350870,f350880,f350890,f350900,f350910,f350920,f350930,f350940,f350950,f360790,f36080.09c,f360810,f360811,f36082.09c,f36083.09c,f360831,f36084.09c,f36085.09c,f360851,f36086.09c,f360870,f360880,f360890,f360900,f360910,f360920,f360930,f360940,f360950,f360960,f360970,f360980,f370840,f37085.09c,f37086.09c,f370861,f37087.09c,f370880,f370890,f370900,f370901,f370910,f370920,f370930,f370940,f370950,f370960,f370961,f370970,f370980,f370981,f370990,f371000,f371010,f380840,f38086.09c,f38087.09c,f380871,f38088.09c,f38089.09c,f38090.09c,f380910,f380920,f380930,f380940,f380950,f380960,f380970,f380980,f380990,f381000,f381010,f381020,f381030,f381040,f390880,f39089.09c,f390891,f39090.09c,f390901,f39091.09c,f390911,f390920,f390930,f390931,f390940,f390950,f390960,f390961,f390970,f390971,f390972,f390980,f390981,f390990,f391000,f391001,f391010,f391020,f391021,f391030,f391040,f391050,f391060,f400900,f40091.09c,f40092.09c,f40093.09c,f40094.09c,f40095.09c,f40096.09c,f400970,f400980,f400990,f401000,f401010,f401020,f401030,f401040,f401050,f401060,f401070,f401080,f410930,f410931,f41094.09c,f410941,f41095.09c,f410951,f410960,f410970,f410971,f410980,f410981,f410990,f410991,f411000,f411001,f411010,f411020,f411021,f411030,f411040,f411041,f411050,f411060,f411070,f411080,f411090,f411100,f411110,f411120,f420940,f42095.09c,f42096.09c,f42097.09c,f42098.09c,f42099.09c,f42100.09c,f421010,f421020,f421030,f421040,f421050,f421060,f421070,f421080,f421090,f421100,f421110,f421120,f421130,f421140,f421150,f430980,f43099.09c,f430991,f431000,f431010,f431020,f431021,f431030,f431040,f431050,f431060,f431070,f431080,f431090,f431100,f431110,f431120,f431130,f431140,f431150,f431160,f431170,f440980,f440990,f44100.09c,f44101.09c,f44102.09c,f44103.09c,f441031,f44104.09c,f44105.09c,f44106.09c,f441070,f441080,f441090,f441100,f441110,f441120,f441130,f441131,f441140,f441150,f441160,f441170,f441180,f441190,f451020,f45103.09c,f451031,f451040,f451041,f45105.09c,f451051,f451060,f451061,f451070,f451080,f451081,f451090,f451100,f451101,f451110,f451120,f451121,f451130,f451140,f451141,f451150,f451160,f451161,f451170,f451180,f451190,f451200,f451210,f451220,f461040,f46105.09c,f46106.09c,f46107.09c,f461071,f46108.09c,f461090,f461091,f46110.09c,f461110,f461111,f461120,f461130,f461131,f461140,f461150,f461151,f461160,f461170,f461171,f461180,f461190,f461200,f461210,f461220,f461230,f461240,f471070,f471080,f47109.09c,f471091,f47110.09c,f471101,f47111.09c,f471111,f471120,f471130,f471131,f471140,f471141,f471150,f471151,f471160,f471161,f471170,f471171,f471180,f471181,f471190,f471191,f471200,f471201,f471210,f471220,f471221,f471230,f471240,f471241,f471250,f471260,f471270,f471280,f481080,f481100,f48111.09c,f48112.09c,f48113.09c,f481131,f48114.09c,f48115.09c,f481151,f48116.09c,f481170,f481171,f481180,f481190,f481191,f481200,f481210,f481211,f481220,f481230,f481231,f481240,f481250,f481251,f481260,f481270,f481280,f481290,f481291,f481300,f481310,f481320,f491120,f49113.09c,f491140,f491141,f49115.09c,f491151,f491160,f491161,f491162,f491170,f491171,f491180,f491181,f491182,f491190,f491191,f491200,f491201,f491202,f491210,f491211,f491220,f491221,f491222,f491230,f491231,f491240,f491241,f491250,f491251,f491260,f491261,f491270,f491271,f491280,f491281,f491282,f491290,f491291,f491300,f491301,f491302,f491310,f491311,f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deptime
</Group>
<Group name="target_space">boc_keff, eoc_keff</Group>
</VariableGroups>
<Files>
<Input name="rom_output" type="">keff_rom_svm</Input>
<Input name="inputcsv" type="">combined.csv</Input>
</Files>
<Models>
<!-- Defines ROM specifics, from library(subType),
independent variable(Features), dependent variable(Target),
algorithm (SKLtype) and etc. -->
<ROM name="rom" subType="SciKitLearn">
<Features>feature_space</Features>
<Target>target_space</Target>
<SKLtype>svm|SVR</SKLtype>
<kernel>rbf</kernel>
</ROM>
</Models>
<Steps>
<IOStep name="get_input">
<!-- In the IOStep the serpent-output-converted-csv files are logged into output-->
<Input class="Files" type="">inputcsv</Input>
<Output class="DataObjects" type="PointSet">inputdata</Output>
</IOStep>
<RomTrainer name="make_rom">
<!-- Given the dataset, generate ROM using Scikit-learn -->
<Input class="DataObjects" type="PointSet">inputdata</Input>
<Output class="Models" type="ROM">rom</Output>
</RomTrainer>
<IOStep name="rom_dump">
<!-- Save the rom as rom_output-->
<Input class="Models" type="ROM">rom</Input>
<Output class="Files" type="">rom_output</Output>
</IOStep>
</Steps>
<DataObjects>
<!-- Specifies the output objects, just the rows from the
serpent-output-converted-csv file with column name -->
<PointSet name="inputdata">
<Input>feature_space</Input>
<Output>target_space</Output>
</PointSet>
</DataObjects>
</Simulation>
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