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Creates a New Run (MLFlow)

Synopsis

This operator creates a new run on a mlflow server

Description

This operator creates a new run into an existing experiment. The experiment needs to be defined using the experiment_id parameter.

A A run is simply put a single execution of your training process and can contain performances, metrics and other parameters

This operator acts similary to mlflow.client.create_run() in python.

Input

  • con (Connection)

    Connection to a MLFlow Server

  • through (Data table)

    Through port to send data through

Output

  • exa (Data table)

    Table with the information on the generated run

  • run

    A RunIOObject, which holds all the information on the given run and can be used to log things into the run.

  • through (Data table)

    Through port to send data through

Parameters

  • experiment name Name of the experiment to create the run in
  • define run name If set to true the user has to provide a name for the created run. If set to false a random name is used.
  • run name The name of the run. Only available if define run name is set to true.

Tutorial Processes