Describe the bug
When Transform is called without calling Fit, a ValueError is thrown. Something similar to sklearn.exceptions.NotFittedError would be more appropriate?
To Reproduce
Steps to reproduce the behavior:
Create a nimbusml featurizer and call transform directly without calling fit.
Expected behavior
An error similar to sklearn.exceptions.NotFittedError is what I expected. But it threw a generic ValueError
Screenshots

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