Creates a New Experiment
(MLFlow)
Synopsis
This operator creates a new experiment on an mlflow serverDescription
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 Range: configurable