adaptive

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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...

voloddia

Normalize variabels

4

I get the feeling that normalizing the variables to be around 1 greatly improves the sampling. Specifically, it prevents the "point is inside the hull" error. Might be worth adding...

bonh

## Description Please include a summary of the change and which (if so) issue is fixed. Fixes #(ISSUE_NUMBER_HERE) ## Checklist - [ ] Fixed style issues using `pre-commit run --all`...

basnijholt

Async Running Problem with AsyncRunner

2

**Description**: As a newcomer to this package, I'm exploring the usage of the `AsyncRunner` feature, particularly aiming to employ the `start_periodical_saving` functionality. Below is the code snippet I've implemented: ```python...

hz-xiaxz

## Description Implement `"sequential"` strategy for `BalancingLearner` ## Checklist - [x] Fixed style issues using `pre-commit run --all` (first install using `pip install pre-commit`) - [x] `pytest` passed ## Type...

basnijholt

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...

voloddia

LearnerND not loading properly

1

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...

MrCheatak

Add `dynamic_args_provider` to `Runner`

1

## Description Please include a summary of the change and which (if so) issue is fixed. Fixes #(ISSUE_NUMBER_HERE) ## Checklist - [ ] Fixed style issues using `pre-commit run --all`...

basnijholt

Question: Running a learning for additional points after some amount of points was computed

2

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....

serhiy-yevtushenko

Default dimension names of LearnerND.to_dataframe assume 3D space.

3

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 (('x', 'y', 'z')) should have the same length as...

serhiy-yevtushenko