Informer: Complete Code from scratch!

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  • Опубликовано: 24 янв 2025

Комментарии •

  • @小飞侠-d1e
    @小飞侠-d1e 2 месяца назад

    Amazing video, you are a genius, please keep releasing new videos. you are the most handsome and smartest person in the machine learning field.

  • @sudlow3860
    @sudlow3860 5 месяцев назад

    Really clear and helpful, thanks. I'm a bit hazy on Einstein summation but I got the general idea!

  • @scott7948
    @scott7948 5 месяцев назад +1

    Amazing video. I'll try run this model on my comp and then adapt it to my project. My data is quarterly though so freq='qtr' I also want to forecast 2 years ahead so out_len = 8. I'll set seq_len to the number of observations or rows in my training data which is around 128. Why is kernel_size = 3 wouldn't you want your model to look back as far as possible when making a prediction? I'm going to set mine to at least 8. Hopefully I can update all those parameters and the model still runs. I'll post again later to let you know how I get on :)

  • @tomoki-v6o
    @tomoki-v6o 5 месяцев назад

    I was very slow at thinking and when using normal calculator and at exams , so i bought a programmable calculator Casio . the problem that i always needed to debug the programmes that i prepared during the exams (due to minor unexpected changes in the exams questions ) .so i get medium grades after all.
    Thats how i learned programming in secondary school . the language i used BASIC.

  • @scott7948
    @scott7948 5 месяцев назад

    There is no quarterly option in the colab notes: # freq for time features encoding, options:[s:secondly, t:minutely, h:hourly, d:daily, b:business days, w:weekly, m:monthly]. How do I go about getting quarterly freq?

  • @alexxxcanz
    @alexxxcanz 3 месяца назад

    Wonderful. Many thanks!

  • @alexxxcanz
    @alexxxcanz 3 месяца назад

    Wonderful. Many thanks!