Object/Class

com.databricks.labs.automl.tracking

MLFlowTracker

Related Docs: class MLFlowTracker | package tracking

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object MLFlowTracker extends Serializable

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  1. MLFlowTracker
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Value Members

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

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. def apply(runId: String, trackingURI: Option[String] = None, apiToken: Option[String] = None): MLFlowTracker

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    WARNING -- ONLY FOR INFERENCE PIPELINE Create MLFlow tracker with only a required RunID.

    WARNING -- ONLY FOR INFERENCE PIPELINE Create MLFlow tracker with only a required RunID. Used for Inference Runs referencing a main config tracked by MLFlow

    runId

    String of MLFlow runId to be used for Inference

    trackingURI

    Optional input to use an external tracking server

    apiToken

    Optional input to use non-default user token

  5. def apply(mainConfig: MainConfig): MLFlowTracker

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    Normal method for instantiating MLFlowTracker.

    Normal method for instantiating MLFlowTracker. Must be used for training tuning and can be used for Inference

  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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

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  10. def finalize(): Unit

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

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. final def synchronized[T0](arg0: ⇒ T0): T0

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  18. def toString(): String

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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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  21. final def wait(arg0: Long): Unit

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Deprecated Value Members

  1. def apply(mlFlowConfig: MLFlowConfig): MLFlowTracker

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    @deprecated
    Deprecated

    (Since version 0.7.1)

Inherited from Serializable

Inherited from Serializable

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