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Hi @Eraylson Galdino da Silva You can get them using

predit_in_sample()

or with

forecast(... fitted = True)

. More information here

Thank you for your answer. Thanks for your response. Unfortunately the croston module does not yet have this method implemented. https://github.com/Nixtla/statsforecast/blob/main/statsforecast/models.py#L3815

hey @Eraylson Galdino da Silva! Could you help us open an issue on the github repo? So can start working on that feature 🙂 Here’s the link: https://github.com/Nixtla/statsforecast/issues/new?assignees=&labels=enhancement%2[…]&title=%5B%3CLibrary+component%3A+Models%7CCore%7Cetc...%3E%5D+