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Model combiner #385

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merged 19 commits into from
Sep 3, 2019
Merged

Model combiner #385

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046dbef
made model combiner
leahmcguire Aug 13, 2019
ba8e587
got class test passing
leahmcguire Aug 15, 2019
315744e
need to fix insights for multiple sanity checkers
leahmcguire Aug 16, 2019
6df8478
fixed model insights
leahmcguire Aug 19, 2019
2dfec2f
merged
leahmcguire Aug 19, 2019
82f130f
style
leahmcguire Aug 19, 2019
d3832ed
style
leahmcguire Aug 19, 2019
7690826
removed println
leahmcguire Aug 19, 2019
b39da7c
cleanup
leahmcguire Aug 19, 2019
4f28cca
minor fix
leahmcguire Aug 20, 2019
63bf74b
updated EinsteinAppArgs to be based on of MlAppArgs base class
leahmcguire Aug 22, 2019
5bf6299
added test for mismatched metrics
leahmcguire Aug 22, 2019
e57fe22
merged
leahmcguire Aug 22, 2019
4e36467
fixed custom names
leahmcguire Aug 22, 2019
96367d5
Merge branch 'master' into lm/modelCombiner
tovbinm Aug 27, 2019
712e84e
Merge branch 'master' of github.com:salesforce/TransmogrifAI into lm/…
leahmcguire Aug 29, 2019
6139bd0
adressing comments
leahmcguire Aug 29, 2019
7d27995
Merge branch 'lm/modelCombiner' of github.com:salesforce/TransmogrifA…
leahmcguire Aug 29, 2019
41c6654
Merge branch 'master' into lm/modelCombiner
leahmcguire Sep 3, 2019
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@leahmcguire
leahmcguire committed Aug 19, 2019
commit d3832ed19d27e11b3f345fe9eee3c1b767b76f9d
2 changes: 1 addition & 1 deletion core/src/main/scala/com/salesforce/op/stages/impl/selector/SelectedCombiner.scala
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Expand Up @@ -152,7 +152,7 @@ class SelectedCombiner
problemType = summary1.problemType,
bestModelUID = summary1.bestModelUID + " " + summary2.bestModelUID,
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is space a good separator here? perhaps _ or - instead?

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space will be parsable to get them separated while "-" or "_" would not

bestModelName = summary1.bestModelName + " " + summary2.bestModelName,
bestModelType = summary1.bestModelType + " " +summary2.bestModelType,
bestModelType = summary1.bestModelType + " " + summary2.bestModelType,
validationResults = summary1.validationResults ++ summary2.validationResults,
trainEvaluation = evaluate(model.transform(dataset)),
holdoutEvaluation = None
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