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Creates a New Experiment (MLFlow)

Synopsis

This operator creates a new experiment on an mlflow server

Description

This operator creates a new experiment on a mlflow server, which is defined by the connection provided on the "con" port

An Experiment is the primary organizational structure with in MLFlow. It is a collection of runs and allows you to visualize, search and compare them. 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_experiment() 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 experiment

  • through (Data table)

    Through port to send data through

Parameters

  • experiment name Name of the experiment to create

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