ferrolearn-kernel
Kernel methods for the ferrolearn ML framework: Nadaraya-Watson and local polynomial regression, Gaussian processes (regression and Laplace-approximation classification), kernel ridge, Nyström approximation, and RBF random Fourier features
- Latest release
- 15h ago
- Releases
- 6
- Known CVEs
- 0
- First release
- Mar 07, 2026
- License
- MIT OR Apache-2.0
Repository
Source
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Packages from this repo
Insights
Activity
- Total releases
- 6
- Last 12 months
- 6
- Cadence
- ~18 days
- Dependencies
- 12
Releases per month
last 12 monthsRelease mix
- minor 4
- patch 1
6
releases
Dependencies
Depends on
0.5.0-
faer
^0.24
-
ferrolearn-core
^0.5.0
-
ferrolearn-neighbors
^0.5.0
-
ndarray
^0.17
-
num-traits
^0.2
-
rand
^0.9
-
rand_distr
^0.5
-
rand_xoshiro
^0.7
-
rayon
^1.11
-
serde
^1.0
1–10 of 12
Used by
1Releases