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    Matthew Middlehurst
    @MatthewMiddlehurst
    Is there an exception/error given other than that? A bit difficult if its only telling you where the issue is.
    I could try running it if i had the data, but understandable if you cant share
    Siddhi Shroff
    @Sidshroff
    Let me check, and see if I can share more details on the error. Sorry, it would be difficult to share the data, i really do appreciate the help!
    Siddhi Shroff
    @Sidshroff
    image.png
    Sorry, it doesn't look very readable, understandable if you would be unable to help with this error message
    Matthew Middlehurst
    @MatthewMiddlehurst
    No thats great, thought i had already fixed that. Will try push somthing in a couple of days.
    Siddhi Shroff
    @Sidshroff
    Would you be able to tell me whats causing the error? It would good for me to know
    Matthew Middlehurst
    @MatthewMiddlehurst
    i can send you somthing now if you can edit the code, if not try a different random seed.
    Siddhi Shroff
    @Sidshroff
    Sure thing! I can definitely try that, in the meanwhile I will try changing the random seed as well
    Matthew Middlehurst
    @MatthewMiddlehurst
    its trying to randomly select a length, but there is only one possible length to select.
    so its trying to generate a random number between 0 and 0 (which it cant do)
    Siddhi Shroff
    @Sidshroff
    Ah, that makes sense! And this is due to the fact that all my time series (I have 20 variables) of the same length? Thanks so much!
    Matthew Middlehurst
    @MatthewMiddlehurst
    you can include these lines after line 277, which should work
                    if len_range - self._min_interval > 0
                    else self._min_interval
    no, as your series is short it has a low amount of possible lengths
    Siddhi Shroff
    @Sidshroff
    Got it! Sure, let me try this!
    Matthew Middlehurst
    @MatthewMiddlehurst
    i fixed one part of it before, but neglected the other. my bad!
    Will include that in a PR later.
    Siddhi Shroff
    @Sidshroff
    Thanks for the quick turnaround time on this! All good :-). I am really excited to implement CIF and check ML performance lift for my dataset. Also, really enjoyed the paper on it!
    Siddhi Shroff
    @Sidshroff
    @MatthewMiddlehurst - Thank you for the tip! I was able to run the CIF on my dataset. Just wanted to check if it's normal for predict_proba on CIF to take a long time?
    For me, its almost been 45 mins!
    Hancel PV
    @hancelpv
    Hi All, I wanted to use the ExpSmoothing model with the lower and upper bounds for alpha, beta, gamma, phi.
    I can't see this functionality being implemented in sktime, whereas the underlying statsmodels estimator supports this
    Has anyone faced similar issue ? Please suggest solutions if any. Worst case I can re use the statsmodels model itself.
    Hancel PV
    @hancelpv
    Sorry about this, I found the solution, I should have used AutoETS instead of ExpSmoothing class.
    Ilyas Moutawwakil
    @IlyasMoutawwakil
    Hello everyone, I know this is not the subject of the chat but can anyone here give me an advice about spatio-temporal forecasting (event data), some python packages or algorithmes I could use for this task?
    Bhaskar Dhariyal
    @haskarb
    image.png
    Is this the best way to use 1NN-DTW in sktime? Is there other faster implementation?
    Matthew Middlehurst
    @MatthewMiddlehurst
    That's how you would run it, yes. We are currently in the process of updating the distance measures.
    1 reply
    aron-alarik
    @aron-alarik
    image.png
    Hey !! I have a univariate series that I am trying convert to sktime format, from Pandas, as mentioned in the documentation, want to use this with shapelet transform...thanks !!
    Screenshot 2021-12-22 025042.png
    this is what my df looks like :)
    Wang
    @wanglu2014
    Hi, my input dataset is a table with 500 samples, 200 features and 3 time points. I need to do unsupervised classification for those samples into two classes. Which method do you recommend?
    oda356
    @oda356
    Hi, I can't find an API to save/serialize my trained model in sktime document, how can I save my trained model so that I needn't train my model again when I want to predict some data?
    Gustav von Zitzewitz
    @gustavz
    Hi sktime guys, I've got a question regarding TBATS:
    are there any upper or lower limits to the box_cox_bounds argument?
    If not implementation wise then maybe from a logical perspective...
    Thanks!