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The following implementations use a generic `impl Distance` parameter, but only provide a `Default` impl for the `Euclidean` distance.
- KNNClassifier
- KNNRegressor
- DBSCAN
- KMeans
In one …
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I have test the algorithm on my dataset , the distance height is between 0,1. for example it assign 0, 0, 0 , 0 then the rest are 1.
the distance is a matrix from euclidean distance method …
ghost updated
4 years ago
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This might involve some changing of the way that the user interacts with the API.
Currently, the distances are calculated:
* Internally inside `maxcovr` using long and lat columns
* Assuming eu…
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As @tfeher [pointed out](https://github.com/rapidsai/raft/pull/1049#discussion_r1042221564), in the following code the norm should be computed in `AccType`: https://github.com/rapidsai/raft/blob/dd49a…
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```
Currently to match source images to target slices I use Euclidean distance in
n-dimensional space. An alternate approach would be to sum the 3-dimensional
Euclidean distances of each sub-sectio…
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Hello, I got a question regarding the ball radius.
In camera.py the ray directions are normalized, hence t values (and distances) are in euclidean space. But the radii are computed on the image pla…
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#### Describe the bug
I believe there is a bug on sklearn.metrics.pairwise.pairwise_distances_chunked(). If `X` gets chunked, and you pass `X_norm_squared` in `kwds`, this would throw a `ValueError…
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Hi All,
Thanks for the wonderful package.
I'm just starting to explore the source code. I was curious about a very small decision.
If I do:
```julia
k = SqExponentialKernel()
```
the…
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### Describe the feature or idea you want to propose
for collection estimators we use the
_tags = {"algorithm_type": "distance"}
as a taxonomy of algorithms. However we dont test they are vali…
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Hi!
When I try to fit the IBD trend to a curve (step 2, method 2) using euclidean or coancestry distances, I get this error message:
Error in nls(y ~ cbind(1, 1 - exp(-exp(lrc) * x)), data = xy…