# general

Philipp Leser

10/06/2023, 5:25 PM
Hi. I am experimenting with the Nixtla toolbox to (at least maybe) finally replace my home-grown time series prediction libraries. I like it a lot so far. It seems though, if you walk through tutorials like that if you fit an MLForecast object, that the actual model objects inside the "Models" dictionary loose their information about their fitted parameters. LIke the coefficients in a OLS regression. And lin_reg.coef_ will lead to an exception, since the object is still the unfitted sklearn object. I was too lazy to debug it, but you are cloning the models in the fit loop.
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