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At the moment it's a table with a spatial index. Ie, each point is a row in the table, and columns are point attributes, which are shared by all points. The spatial index is a KDTree by default.
Ho…
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Hello,
I have been using the compute_samp_entropy function and I have updated my sklearn to version 1.3.0 and now the function gives this issue argument of type 'builtin_function_or_method' is not …
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We've found a performance drop in our production code when migrating to node 0.12.
Here is a benchmark that reproduces it (based on the readme sample):
``` javascript
var kdtree = require('./kdtree')…
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Build error infos as follows, can 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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**概要**
NDT_CUDAオプションで実行するとCPU使用率が大きく減少し、比較的少ないGPU使用率で実行できる
しかししばらく実行していると下記のようなエラーで落ちる
fast_gicpの問題ですが不要なら #24 の対応の都合でNDT_CUDAオプションを消してしまったほうが楽
```bash
lm not converged!!
nodelet: /build/pcl…
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From a quick look, it seems that this is because `KdTree::size` is `T`, which might not be necessary. I'd like to store a simple data structure as `Content`, and having this structure represent `size`…
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Currently, three Cherab submodules: cherab-solps, cherab-edge2d and cherab-imas use very similar interpolators for mesh data. I propose to include in the core module the general interpolators for mesh…
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Can you privode support of periodic boundary condition when calculating distances? Just like the **boxsize** parameter in scipy.spatial.Kdtree. Thanks a lot.
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Your kdtree.h seems correct but you are missing to complete the euclideanCluster function and the clusterHelper
```
std::vector euclideanCluster(const std::vector& points, KdTree* tree, float dist…
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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…