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  1. diffusion_flax_model (2).msgpack +3 -0
  2. gb-xgboost-iris (2).pmml +1002 -0
  3. saved_model (1).pb +3 -0
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+ <TreeModel functionName="regression" noTrueChildStrategy="returnLastPrediction" x-mathContext="float">
947
+ <MiningSchema>
948
+ <MiningField name="sepal_width"/>
949
+ <MiningField name="petal_length"/>
950
+ <MiningField name="petal_width"/>
951
+ </MiningSchema>
952
+ <Node score="-0.09156811">
953
+ <True/>
954
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955
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956
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957
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958
+ <SimplePredicate field="sepal_width" operator="greaterOrEqual" value="3.05"/>
959
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960
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961
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962
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963
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964
+ </Node>
965
+ </Node>
966
+ <Node score="0.008621005">
967
+ <SimplePredicate field="petal_length" operator="greaterOrEqual" value="4.95"/>
968
+ </Node>
969
+ </Node>
970
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971
+ </Segment>
972
+ </Segmentation>
973
+ </MiningModel>
974
+ </Segment>
975
+ <Segment id="4">
976
+ <True/>
977
+ <RegressionModel functionName="classification" normalizationMethod="softmax" x-mathContext="float">
978
+ <MiningSchema>
979
+ <MiningField name="Class" usageType="target"/>
980
+ <MiningField name="xgbValue(setosa)"/>
981
+ <MiningField name="xgbValue(versicolor)"/>
982
+ <MiningField name="xgbValue(virginica)"/>
983
+ </MiningSchema>
984
+ <Output>
985
+ <OutputField name="probability(setosa)" optype="continuous" dataType="float" feature="probability" value="setosa"/>
986
+ <OutputField name="probability(versicolor)" optype="continuous" dataType="float" feature="probability" value="versicolor"/>
987
+ <OutputField name="probability(virginica)" optype="continuous" dataType="float" feature="probability" value="virginica"/>
988
+ </Output>
989
+ <RegressionTable intercept="0.0" targetCategory="setosa">
990
+ <NumericPredictor name="xgbValue(setosa)" coefficient="1.0"/>
991
+ </RegressionTable>
992
+ <RegressionTable intercept="0.0" targetCategory="versicolor">
993
+ <NumericPredictor name="xgbValue(versicolor)" coefficient="1.0"/>
994
+ </RegressionTable>
995
+ <RegressionTable intercept="0.0" targetCategory="virginica">
996
+ <NumericPredictor name="xgbValue(virginica)" coefficient="1.0"/>
997
+ </RegressionTable>
998
+ </RegressionModel>
999
+ </Segment>
1000
+ </Segmentation>
1001
+ </MiningModel>
1002
+ </PMML>
saved_model (1).pb ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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