com.eharmony.aloha.audit.impl

EitherAuditorError

final case class EitherAuditorError(failureModelIds: ::[ModelIdentity], errorMsgs: Seq[String], missingVarNames: Set[String]) extends Product with Serializable

Diagnostic information about failures encountered. This structure can be thought of as a flattened tree of failures. The tree is pruned one of two ways, it is either prune at the root, or pruned at the the first submodel successes encountered. The tree is pruned at the root if the auditor is created via EitherAuditor[A](aggregateDiagnostics = false).

If the auditor is created via EitherAuditor[A](aggregateDiagnostics = true), or simply EitherAuditor[A], then the trees are pruned at successes. For instance, imagine a model, model 1, that has submodels 2 and 5. Submodel 2 has submodels 3 and 4; submodel 5 has submodels 6 and 7. Let's say the following submodels fail: 1, 2, 4, 6, 7. Then, information would be aggregated as follows:

//          ORIGINAL        |       PRUNED      |       SIMPLIFIED
//  =====================================================================
//                          |                   |
//   1:F +-- 2:F +--  3:S   |   1 +-- 2 +-- /   |   1 --- 2 +
//       |       |          |     |     |       |           |
//       |       +--  4:F   |     |     +-- 4   |           +-- 4
//       |                  |     |             |
//       +-- 5:S +--  6:F   |     +-- / +-- /   |
//               |          |           |       |
//               +--  7:F   |           +-- /   |  DFS preorder: 1, 2, 4
//                          |                   |
//  =====================================================================

Notice because submodel 5 succeeds, error information about submodels 6 and 7 is disregarded because submodel 5 could recover from its submodels' errors.

So, in the event that diagnostics are aggregated, only information about submodels 1, 2, 4 should be contained in the EitherAuditorError returned by the EitherAuditor.

failureModelIds

a non-empty list of ModelIdentity instances of submodels that failed to produce a prediction. Since the top-level model must fail in order for an EitherAuditorError to be returned, this is a non-empty list. This non-empty list is in DFS preorder.

errorMsgs

messages indicating errors encountered.

missingVarNames

names of variables with missing data encountered in the model computation.

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Instance Constructors

  1. new EitherAuditorError(failureModelIds: ::[ModelIdentity], errorMsgs: Seq[String], missingVarNames: Set[String])

    failureModelIds

    a non-empty list of ModelIdentity instances of submodels that failed to produce a prediction. Since the top-level model must fail in order for an EitherAuditorError to be returned, this is a non-empty list. This non-empty list is in DFS preorder.

    errorMsgs

    messages indicating errors encountered.

    missingVarNames

    names of variables with missing data encountered in the model computation.

Value Members

  1. final def !=(arg0: AnyRef): Boolean

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  2. final def !=(arg0: Any): Boolean

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  3. final def ##(): Int

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  8. final def eq(arg0: AnyRef): Boolean

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  9. val errorMsgs: Seq[String]

    messages indicating errors encountered.

  10. val failureModelIds: ::[ModelIdentity]

    a non-empty list of ModelIdentity instances of submodels that failed to produce a prediction.

    a non-empty list of ModelIdentity instances of submodels that failed to produce a prediction. Since the top-level model must fail in order for an EitherAuditorError to be returned, this is a non-empty list. This non-empty list is in DFS preorder.

  11. def finalize(): Unit

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  12. final def getClass(): Class[_]

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  13. final def isInstanceOf[T0]: Boolean

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  14. val missingVarNames: Set[String]

    names of variables with missing data encountered in the model computation.

  15. final def ne(arg0: AnyRef): Boolean

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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  19. final def wait(): Unit

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  20. final def wait(arg0: Long, arg1: Int): Unit

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