Skip to main content

Model.to_draft

Model.to_draft()

     Create a model draft from the current model. From this draft you can edit the
     config and dataset properties to set up for a new iteration of training.

Parameters:​

       None

Returns:​

       ModelDraft

Examples:​

Get an already created model by name and get a new draft for iteration, then set new config on draft.

    import yaml
    with open("~/{path to file}/improved_model_config.yaml", 'r') as f:
        config=yaml.safe_load(f)

    model = pc.get_model('Titanic Model')
    draft = model.to_draft()
    draft.config = config