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                                            Matt von Rohr

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ValueError: When passing a model not in PyCaret's model library, the custom_grid parameter must be provided.

Here's the snippet to reproduce it. ``` from pycaret.datasets import get_data from pycaret.classification import * juice = get_data('juice') setup(data = juice, target = 'Purchase', silent=True) clf = create_model('lr') save_model(clf, 'lr')...

@kmedved I think we can make it work. Here is my working example of how to do it until the functionality is available:

Possible duplicate of: https://github.com/pycaret/pycaret/issues/1350

[BUG]: Dummy model can't be tuned

Here's a reproducible example: ``` from pycaret.datasets import get_data from pycaret.classification import * data = get_data('cancer') setup(data, target = 'Class', silent=True) clf = create_model('dummy') tune_model(clf) # ValueError: parameter grid for...