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Hi ! I just started to use Adaptative and I am confused about a problem that I have. I am using the Learner2D with a function that computes the sign of a determinant of a matrix (size around 6000). The ...
  • lauragoms
  • 3
  • Opened 
    23 days ago
  • #471

Hi My question is the following: how one could run a learner again after sampling a certain amount of points. I have tried following: run LearnerND for sampling 2000 points. Saved them to the dataframe ...
  • serhiy-yevtushenko
  • 2
  • Opened 
    on Feb 20
  • #470

All examples in the adaptive code are oriented toward the usage with Jupyter notebooks. However, from software engineering usage perspective, notebooks are not always optimal (see, for example, https://yihui.org/en/2018/09/notebook-war/). ...
  • serhiy-yevtushenko
  • 1
  • Opened 
    on Feb 20
  • #469

When trying to use LearnerND on 2D data (see issue https://github.com/python-adaptive/adaptive/issues/466), when calling learner.to_dataframe() function, one gets the exception: ValueError: point_names ...
enhancement
  • serhiy-yevtushenko
  • 3
  • Opened 
    on Feb 20
  • #468

Hi. Could you please advice, what type of loss suite better, if estimated function returns angular value, but real loss (in which one is interested) depends as well on the distance from coordinates start ...
  • serhiy-yevtushenko
  • Opened 
    on Feb 20
  • #467

In some cases, the input area, where function to be interpolated is defined is not a rectangular one, and function is not defined outside of the definition area. It would be good, if one would be able ...
  • serhiy-yevtushenko
  • 4
  • Opened 
    on Feb 19
  • #466

I have a problem with adaptive, which becomes extremely slow after a certain number of iterations for high-dimensional issues (in my case, nine input dimensions). It works fine for a certain amount of ...
  • Niels-Skovgaard-Jensen
  • Opened 
    on Nov 20, 2024
  • #464

Consider a problem, where one would like to save an intermediate learning result and continue later. i.e. to increase accuracy. Saving and loading Learner2D works like charm and I can continue where I ...
  • MrCheatak
  • 1
  • Opened 
    on Aug 8, 2024
  • #461

Hi, I realize that sometimes adaptive generates significantly different losses (~2 orders of magnitude) given the same input. As a sanity check, I want to recalculate losses of resampled data without calling ...
  • voloddia
  • Opened 
    on May 21, 2024
  • #457

Hi, This is more of a question than an issue. I ve tried several examples for functions resampling and this works great. Is this applicable for time series as well? Off the top of my head, I think I can ...
question
  • voloddia
  • Opened 
    on Apr 17, 2024
  • #456
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