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com.databricks.labs.automl.utils

AutoMlPipelineMlFlowUtils

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object AutoMlPipelineMlFlowUtils

Since

0.6.1 Mlflow Utility for Pipeline tasks

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  1. AutoMlPipelineMlFlowUtils
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Type Members

  1. case class ConfigByPipelineIdOutput(mainConfig: MainConfig, mlFlowRunId: String) extends Product with Serializable

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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. final lazy val AUTOML_INTERNAL_ID_COL: String

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  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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

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  8. def equals(arg0: Any): Boolean

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  9. def extractTopLevelColNames(schema: StructType): Array[String]

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  10. def finalize(): Unit

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

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  12. def getMainConfigByPipelineId(pipelineId: String): ConfigByPipelineIdOutput

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  13. def getMlFlowTagByKey(client: MlflowClient, runId: String, tag: String): String

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  14. def getPipelinePathByRunId(runId: String, loggingConfig: Option[LoggingConfig] = None, mainConfig: Option[MainConfig] = None): String

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  15. def hashCode(): Int

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  16. final def isInstanceOf[T0]: Boolean

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  17. def logTagsToMlFlow(pipelineId: String, tags: Map[String, String]): Unit

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

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  19. final def notify(): Unit

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  20. final def notifyAll(): Unit

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  21. def saveInferencePipelineDfAndLogToMlFlow(pipelineId: String, decidedModel: String, modelFamily: String, mlFlowModelSaveDirectory: String, finalPipelineModel: PipelineModel, originalDf: DataFrame): Unit

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

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  23. def toString(): String

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  24. final def wait(): Unit

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

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

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