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I have been using pykdtree to obtain nearest neighbours and it seems that it breaks down for a very large dataset. I managed to reproduce the problem with the following example:
```python
from pyk…
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Here's an example workflow that I'd like to support once this feature exists. This is from Jake Wall of the Mara Elephant Project. Here, he would make use of raster and table data from Earth Engine. …
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**_n_closest_** is a required input for the **_plg.spatial.get_closest_points_to_point_** function. I would suggest to make it optional since the number of neighbouring stations might be irrelevant fo…
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Hi author,
I build fast_gicp with `option(BUILD_VGICP_CUDA "Build GPU-powered VGICP" ON)`. Set `reg_method` is `NDT_CUDA_D2D` or `NDT_CUDA_P2D`, hdl will crash when received laser points. But when u…
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Build infos as follows, could u give me some advices, thanks!
In file included from /usr/include/flann/util/params.h:33:0,
from /usr/include/pcl/kdtree/kdtree_flann.h:44,
…
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`Predictor.predict` should return `(predictions, uncertainty)` (or confidence, spread, whatever). This matches the way scikit-learn deals with multiple kinds of returned prediction (see `sklearn.neigh…
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Hi,
According to the API documentation, the algorithm parameter is set as follows:
> algorithm : string, optional (default=’best’)
> Exactly which algorithm to use; hdbscan has variants special…
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Hi There,
When trying to build the package I get the following error:
`Errors
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I'd like to start this discussion because I might research this topic when I get bored. I am not an OpenCL or CUDA expert (or even novice) so I'm putting my findings here as I go.
- https://forums.…