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org.mlflow.spark.autologging

MlflowAutologEventSubscriber

trait MlflowAutologEventSubscriber extends AnyRef

Trait defining subscriber interface for receiving information about Spark datasource reads. This trait can be implemented in Python in order to obtain datasource read information, see https://www.py4j.org/advanced_topics.html#implementing-java-interfaces-from-python-callback

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Abstract Value Members

  1. abstract def notify(path: String, version: String, format: String): Any

    Method called on datasource reads.

    Method called on datasource reads.

    path

    Path of the datasource that was read

    version

    Version, if applicable (e.g. for Delta tables) of datasource that was read

    format

    Format ("csv", "json", etc) of the datasource that was read

  2. abstract def ping(): Unit

    Used to verify that a subscriber is still responsive - for example, in the case of a Python subscriber, invoking the ping() method from Java via a Py4J callback allows us to verify that the associated Python process is still alive.

  3. abstract def replId: String

    Return the ID of the notebook associated with this subscriber, if any.

    Return the ID of the notebook associated with this subscriber, if any. The returned ID is expected to be unique across all subscribers (e.g. a UUID).

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